Shahaboddin Shamshirband : Citation Profile

Are you Shahaboddin Shamshirband?

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367

Citations

RESEARCH PRODUCTION:

50

Articles

RESEARCH ACTIVITY:

   3 years (2014 - 2017). See details.
   Cites by year: 122
   Journals where Shahaboddin Shamshirband has often published
   Relations with other researchers
   Recent citing documents: 87.    Total self citations: 21 (5.41 %)

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   Permalink: http://citec.repec.org/psh867
   Updated: 2020-10-24    RAS profile: 2017-12-31    
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Relations with other researchers

Works with:

Authors registered in RePEc who have co-authored more than one work in the last five years with Shahaboddin Shamshirband.

Is cited by:

Mardani, Abbas (6)

Shamshirband, Shahab (5)

Shamshirband, Sh (4)

Mosavi, Amir (2)

Li, Yong (1)

Mardani, Abbas (1)

Usman, Mohamend (1)

Di Lascio, F. Marta L. (1)

Minutolo, Marcel (1)

Bărbuţă-Mişu, Nicoleta (1)

Moghavvemi, Mahmoud (1)

Cites to:

Watson, Mark (3)

Chevillon, Guillaume (3)

Hendry, David (3)

Marcellino, Massimiliano (3)

Armstrong, J. (3)

Ozkan, Burhan (2)

Engle, Robert (1)

Kumbhakar, Subal (1)

KATIRCIOGLU, SALIH (1)

pasqual, joan (1)

iraizoz, belen (1)

Main data

Where Shahaboddin Shamshirband has published?

Journals with more than one article published# docs
Renewable and Sustainable Energy Reviews18
Energy14
Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA)4
Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards3
Quality & Quantity: International Journal of Methodology3
Information Systems and e-Business Management2
Applied Mathematics and Computation2
Annals of Operations Research2

Recent works citing Shahaboddin Shamshirband (2020 and 2019)

YearTitle of citing document
2019Two-Dimensional Discriminant Locality Preserving Projections for Crop Leaf Disease Detection. (2019). Li, Ping. In: Open Access Journal Of Environmental & Soil Science. RePEc:abr:oajess:v:4:y:2019:i:2:p:478-483.

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2019A D-vine copula quantile regression approach for the prediction of residential heating energy consumption based on historical data. (2019). Niemierko, Rochus ; Trankler, Timm ; Toppel, Jannick. In: Applied Energy. RePEc:eee:appene:v:233-234:y:2019:i::p:691-708.

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2019Coordinated mechanical loads and power optimization of wind energy conversion systems with variable-weight model predictive control strategy. (2019). Wu, Qiuwei ; Liu, Jizhen ; Chen, Zhenyu ; Lin, Zhongwei. In: Applied Energy. RePEc:eee:appene:v:236:y:2019:i:c:p:307-317.

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2019Sequential grid approach based support vector regression for short-term electric load forecasting. (2019). Li, LI ; Deng, Chengzhi ; Che, Jinxing ; Yang, Youlong. In: Applied Energy. RePEc:eee:appene:v:238:y:2019:i:c:p:1010-1021.

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2019Multi-temporal assessment of power system flexibility requirement. (2019). Kariniotakis, Georges ; Girard, Robin ; Bourmaud, Jean-Yves ; Heggarty, Thomas. In: Applied Energy. RePEc:eee:appene:v:238:y:2019:i:c:p:1327-1336.

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2019Prediction of occupancy level and energy consumption in office building using blind system identification and neural networks. (2019). Li, Qingping ; Xie, Jingchao ; Zhang, Weiya ; Wu, Jinshun ; Pan, Song ; Xia, Liang ; Wei, Yixuan. In: Applied Energy. RePEc:eee:appene:v:240:y:2019:i:c:p:276-294.

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2019The implementation of univariable scheme-based air temperature for solar radiation prediction: New development of dynamic evolving neural-fuzzy inference system model. (2019). Yaseen, Zaher Mundher ; Heddam, Salim ; Kisi, Ozgur. In: Applied Energy. RePEc:eee:appene:v:241:y:2019:i:c:p:184-195.

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2019Vector field-based support vector regression for building energy consumption prediction. (2019). Wang, Jiajun ; Zhong, Hai ; Lv, Shilei ; Mu, Yunfei ; Jia, Hongjie. In: Applied Energy. RePEc:eee:appene:v:242:y:2019:i:c:p:403-414.

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2019Improving the reliability and energy production of large wind turbine with a digital hydrostatic drivetrain. (2019). Xu, Bing ; Chen, Jincheng ; Wang, Feng ; Stelson, Kim A. In: Applied Energy. RePEc:eee:appene:v:251:y:2019:i:c:4.

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2020A review of data centers as prosumers in district energy systems: Renewable energy integration and waste heat reuse for district heating. (2020). Huang, Pei ; Svanfeldt, Mikael ; Andersson, Dan ; Fahlen, Jan ; Ronnelid, Mats ; Lofgren, Isabelle ; Shen, Jingchun ; Zhang, Xingxing ; Copertaro, Benedetta. In: Applied Energy. RePEc:eee:appene:v:258:y:2020:i:c:s0306261919317969.

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2020Meta-learning strategy based on user preferences and a machine recommendation system for real-time cooling load and COP forecasting. (2020). Chun, Liang ; Peng, Pei ; Fan, Houhua ; Gong, Guangcai ; Li, Wenqiang. In: Applied Energy. RePEc:eee:appene:v:270:y:2020:i:c:s0306261920306565.

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2020A hybrid prediction model for residential electricity consumption using holt-winters and extreme learning machine. (2020). Li, Fan ; Zhang, Chenghui ; Sun, BO ; Liu, Che. In: Applied Energy. RePEc:eee:appene:v:275:y:2020:i:c:s0306261920308953.

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2019Using machine learning tools for forecasting natural gas consumption in the province of Istanbul. (2019). Ervural, Beyzanur Cayir ; Beyca, Omer Faruk ; Zaim, Selim ; Ozuyar, Pinar Gokcin ; Tatoglu, Ekrem. In: Energy Economics. RePEc:eee:eneeco:v:80:y:2019:i:c:p:937-949.

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2020Technological paradigm-based approaches towards challenges and policy shifts for sustainable wind energy development. (2020). Liu, Tingting ; Xu, Jiuping. In: Energy Policy. RePEc:eee:enepol:v:142:y:2020:i:c:s0301421520302822.

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2019A comparison of models for forecasting the residential natural gas demand of an urban area. (2019). Papa, Gregor ; Ilc, Jurij ; Potonik, Primo ; Hribar, Rok. In: Energy. RePEc:eee:energy:v:167:y:2019:i:c:p:511-522.

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2019A novel combination forecasting model for wind power integrating least square support vector machine, deep belief network, singular spectrum analysis and locality-sensitive hashing. (2019). Zheng, Feng ; Liao, Xiaobing ; Le, Jian ; Zhang, Yachao. In: Energy. RePEc:eee:energy:v:168:y:2019:i:c:p:558-572.

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2019Assessment of optimized pattern in milling factories of rice production based on energy, environmental and economic objectives. (2019). Hosseinzadeh-Bandbafha, Homa ; Mohtasebi, Seyed Saeid ; Rafiee, Shahin ; Nabavi-Pelesaraei, Ashkan ; Chau, Kwok-Wing. In: Energy. RePEc:eee:energy:v:169:y:2019:i:c:p:1259-1273.

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2019Analysis of energy saving potentials in intelligent manufacturing: A case study of bakery plants. (2019). Cameron, Che ; Gan, Shaojun ; Li, Kang ; Wang, Yanxia . In: Energy. RePEc:eee:energy:v:172:y:2019:i:c:p:477-486.

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2019Vibration fault diagnosis of wind turbines based on variational mode decomposition and energy entropy. (2019). Shen, Jun ; Cui, Zhixin ; Yang, Yongming ; Chen, Xuejun. In: Energy. RePEc:eee:energy:v:174:y:2019:i:c:p:1100-1109.

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2019Urban heat island impacts on building energy consumption: A review of approaches and findings. (2019). Jia, Gensuo ; Yu, Sha ; Zhou, Yuyu ; Li, Xiaoma. In: Energy. RePEc:eee:energy:v:174:y:2019:i:c:p:407-419.

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2019Results of a literature review on methods for estimating buildings energy demand at district level. (2019). D'Amico, Antonino ; Caputo, Paola ; Zagarella, Federica ; Ferrari, Simone. In: Energy. RePEc:eee:energy:v:175:y:2019:i:c:p:1130-1137.

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2019Retrofit of a steam power plant using the adaptive neuro-fuzzy inference system in response to the load variation. (2019). Baghsheikhi, Mostafa ; Sayyaadi, Hoseyn. In: Energy. RePEc:eee:energy:v:175:y:2019:i:c:p:1164-1173.

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2019Use of optimization techniques for energy use efficiency and environmental life cycle assessment modification in sugarcane production. (2019). Mobli, Hossein ; Sharifi, Mohammad ; Kaab, Ali ; Chau, Kwok-Wing ; Nabavi-Pelesaraei, Ashkan. In: Energy. RePEc:eee:energy:v:181:y:2019:i:c:p:1298-1320.

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2019A new optimization method of wind turbine airfoil performance based on Bessel equation and GABP artificial neural network. (2019). Zhu, Xiao ; Du, Xiangrui ; Qiu, Chenhui ; Sang, Song ; Wen, Hao ; Shi, Qian . In: Energy. RePEc:eee:energy:v:187:y:2019:i:c:s0360544219318018.

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2019Multi-step ahead forecasting of heat load in district heating systems using machine learning algorithms. (2019). Liu, Jing ; Fang, Xiumu ; Chen, Xin ; Zhou, Zhigang ; Jiang, YI ; Xue, Puning. In: Energy. RePEc:eee:energy:v:188:y:2019:i:c:s0360544219317803.

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2019Analysis of energy use and greenhouse gas emissions (GHG) of transplanting and broadcast seeding wetland rice cultivation. (2019). Mairghany, Modather ; Nawi, Nazmi Mat ; Mahadi, Muhammad Razif ; Yahya, Azmi ; Elsoragaby, Suha. In: Energy. RePEc:eee:energy:v:189:y:2019:i:c:s0360544219318559.

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2019Study on refined control and prediction model of district heating station based on support vector machine. (2019). Zhou, Zhihua ; Wang, Chendong ; Yuan, Jianjuan . In: Energy. RePEc:eee:energy:v:189:y:2019:i:c:s0360544219318882.

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2020An artificial neural network (ANN) expert system enhanced with the electromagnetism-based firefly algorithm (EFA) for predicting the energy consumption in buildings. (2020). Bui, Dac-Khuong ; Nguyen-Xuan, H ; Ngo, Tuan Duc. In: Energy. RePEc:eee:energy:v:190:y:2020:i:c:s0360544219320651.

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2020Distribution system resilience enhancement by microgrid formation considering distributed energy resources. (2020). Gilani, Mohammad Amin ; Ghasemi, Mostafa ; Kazemi, Ahad . In: Energy. RePEc:eee:energy:v:191:y:2020:i:c:s0360544219321371.

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2020Nature-inspired metaheuristic ensemble model for forecasting energy consumption in residential buildings. (2020). Tran, Duc-Hoc ; Chou, Jui-Sheng ; Luong, Duc-Long. In: Energy. RePEc:eee:energy:v:191:y:2020:i:c:s0360544219322479.

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2020US natural gas consumption prediction using an improved kernel-based nonlinear extension of the Arps decline model. (2020). Azimi, Mohammadamin ; Ma, Xin ; Lu, Hongfang. In: Energy. RePEc:eee:energy:v:194:y:2020:i:c:s0360544220300128.

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2020Multi-energy load forecasting for regional integrated energy systems considering temporal dynamic and coupling characteristics. (2020). Gu, Qiang ; Chen, Haiwen ; Wang, Shouxiang. In: Energy. RePEc:eee:energy:v:195:y:2020:i:c:s0360544220300712.

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2020Forecasting based on an ensemble Autoregressive Moving Average - Adaptive neuro - Fuzzy inference system – Neural network - Genetic Algorithm Framework. (2020). Minutolo, Marcel ; Kristjanpoller, Werner ; Prado, Francisco. In: Energy. RePEc:eee:energy:v:197:y:2020:i:c:s0360544220302668.

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2020A comparative study of several machine learning based non-linear regression methods in estimating solar radiation: Case studies of the USA and Turkey regions. (2020). Zounemat-Kermani, Mohammad ; Kisi, Ozgur ; Kim, Sung Won ; Alizamir, Meysam. In: Energy. RePEc:eee:energy:v:197:y:2020:i:c:s0360544220303467.

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2020Identification heat user behavior for improving the accuracy of heating load prediction model based on wireless on-off control system. (2020). Sheng, Ying ; Zhang, JI ; Lu, Shilei ; Wang, Chendong ; Tang, Huajie ; Zhou, Zhihua ; Yuan, Jianjuan. In: Energy. RePEc:eee:energy:v:199:y:2020:i:c:s0360544220305612.

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2020A novel super high back pressure cascade heating scheme with multiple large-scale turbine units. (2020). Wei, Huimin ; Zhang, Fuxiang ; Ge, Zhihua ; Ma, Liqun. In: Energy. RePEc:eee:energy:v:201:y:2020:i:c:s0360544220305764.

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2020Determination of influential parameters for heat consumption in district heating systems using machine learning. (2020). Basic, Bojana Dalbelo ; Maljkovic, Danica. In: Energy. RePEc:eee:energy:v:201:y:2020:i:c:s0360544220306927.

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2020Heating load prediction based on attention long short term memory: A case study of Xingtai. (2020). Song, Jiancai ; Kong, Xiangfei ; Li, Han ; Qi, Chengying ; Xue, Guixiang. In: Energy. RePEc:eee:energy:v:203:y:2020:i:c:s0360544220309531.

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2020Review: Energy efficiency evaluation of complex petrochemical industries. (2020). Yu, Bin ; Gu, Xiangbai ; Zhu, Qunxiong ; Geng, Zhiqiang ; Wu, Hao ; Han, Yongming. In: Energy. RePEc:eee:energy:v:203:y:2020:i:c:s0360544220310008.

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2020Prediction of photovoltaic power output based on similar day analysis, genetic algorithm and extreme learning machine. (2020). Jiang, Minlin ; Gong, Lihua ; Zhou, Nanrun . In: Energy. RePEc:eee:energy:v:204:y:2020:i:c:s036054422031001x.

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2020Data-driven predictive models for residential building energy use based on the segregation of heating and cooling days. (2020). Huang, Xueqing ; Sheikh, Shaya ; Kamel, Ehsan. In: Energy. RePEc:eee:energy:v:206:y:2020:i:c:s036054422031152x.

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2019Influence of different factors on prices of upstream, middle and downstream products in Chinas whole steel industry chain: Based on Adaptive Neural Fuzzy Inference System. (2019). Liu, Xueyong ; Guan, Jianhe ; Sun, Qingru. In: Resources Policy. RePEc:eee:jrpoli:v:60:y:2019:i:c:p:134-142.

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2019The impact of Chinese steel product prices based on the midstream industry chain. (2019). Guo, Sui ; Feng, Sida ; Guan, Jianhe ; Li, Huajiao ; Liu, Yanxin . In: Resources Policy. RePEc:eee:jrpoli:v:63:y:2019:i:c:31.

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2019Estimation of building energy consumption using weather information derived from photovoltaic power plants. (2019). Fu, Xueqian ; Zhang, Xiurong. In: Renewable Energy. RePEc:eee:renene:v:130:y:2019:i:c:p:130-138.

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2019Study of monthly mean daily diffuse and direct beam radiation estimation with MODIS atmospheric product. (2019). Chen, Ji-Long ; Wu, Sheng-Jun ; Wen, Zhao-Fei ; Zhu, Hong-Lin ; Lv, Ming-Quan. In: Renewable Energy. RePEc:eee:renene:v:132:y:2019:i:c:p:221-232.

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2019A study on the impact of easements in the deployment of wind farms near airport facilities. (2019). Salcedo-Sanz, S ; Alexandre, E ; Ocampo-Estrella, I ; Cuadra, L. In: Renewable Energy. RePEc:eee:renene:v:135:y:2019:i:c:p:566-588.

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2019A novel clustering algorithm based on mathematical morphology for wind power generation prediction. (2019). Liang, Jun ; Liao, Xiaozhong ; Dong, Lei ; Hao, Ying ; Wang, BO. In: Renewable Energy. RePEc:eee:renene:v:136:y:2019:i:c:p:572-585.

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2020Comparison of support vector machine and copula-based nonlinear quantile regression for estimating the daily diffuse solar radiation: A case study in China. (2020). Zhu, Ying ; Wang, Yingying ; Chen, Yaowen ; Zhou, Yong ; Liu, Yanfeng. In: Renewable Energy. RePEc:eee:renene:v:146:y:2020:i:c:p:1101-1112.

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2020Comparison between MRM simulations, CAMS and PVGIS databases with measured solar radiation components at the Methoni station, Greece. (2020). Polo, J M ; Karagiannis, D ; Kaskaoutis, D G ; Kambezidis, H D ; Psiloglou, B E. In: Renewable Energy. RePEc:eee:renene:v:146:y:2020:i:c:p:1372-1391.

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2020Estimation of global solar radiation for the tropical wet climatic region of India: A theory of experimentation approach. (2020). Sakhale, C N ; Jamil, Basharat ; Chakrabarti, Siddharth ; Makade, Rahul G. In: Renewable Energy. RePEc:eee:renene:v:146:y:2020:i:c:p:2044-2059.

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2020Photovoltaic power forecast using empirical models and artificial intelligence approaches for water pumping systems. (2020). Oualha, Abdelmajid ; Ben Ammar, Mohsen . In: Renewable Energy. RePEc:eee:renene:v:153:y:2020:i:c:p:1016-1028.

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2019Empirical and machine learning models for predicting daily global solar radiation from sunshine duration: A review and case study in China. (2019). Fan, Junliang ; Zou, Haiyang ; Wang, Xiukang ; Zeng, Wenzhi ; Cai, Huanjie ; Zhang, Fucang ; Wu, Lifeng. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:100:y:2019:i:c:p:186-212.

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2019Application and suitability analysis of the key technologies in nearly zero energy buildings in China. (2019). Liu, Zhijian ; Zhang, Xutao ; Jin, Guangya ; Xu, Wei ; He, Bao-Jie . In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:101:y:2019:i:c:p:329-345.

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2019Prediction of diffuse solar radiation based on multiple variables in China. (2019). Niu, Zigeng ; Qin, Wenmin ; Wei, Jing ; Feng, Lan ; Zou, Ling ; Lu, Yunbo ; Wang, Lunche. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:103:y:2019:i:c:p:151-216.

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2019Evaluation and development of empirical models for estimating daily and monthly mean daily diffuse horizontal solar radiation for different climatic regions of China. (2019). Cai, Huanjie ; Zhang, Fucang ; Wu, Lifeng ; Fan, Junliang ; Bai, Hua ; Ma, Xin. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:105:y:2019:i:c:p:168-186.

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2019A novel paradigm for a sustainable mobility based on electric vehicles, photovoltaic panels and electric energy storage systems: Case studies for Naples and Salerno (Italy). (2019). Cappiello, Francesco Liberato ; Calise, Francesco ; Vicidomini, Maria ; Daccadia, Massimo Dentice ; Carteni, Armando. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:111:y:2019:i:c:p:97-114.

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2019Wavelet-based 3-phase hybrid SVR model trained with satellite-derived predictors, particle swarm optimization and maximum overlap discrete wavelet transform for solar radiation prediction. (2019). Raj, Nawin ; Deo, Ravinesh C ; Ghimire, Sujan. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:113:y:2019:i:c:12.

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2019Future emerging technologies in the wind power sector: A European perspective. (2019). Gambier, Adrian ; Reis, Vera ; Pigolotti, Luca ; Fontana, Marco ; Moro, Alberto ; Petrini, Francesco ; Fagiano, Lorenzo ; Watson, Simon ; Muskulus, Michael ; Croce, Alessandro ; Wiser, Ryan ; Murphy, Jimmy ; Cherubini, Antonello ; Telsnig, Thomas ; MacDonald, Andrew ; Bosse, Dennis ; Taylor, Nigel ; Kaldellis, John ; Boelman, Elisa ; Tande, John ; Jamieson, Peter ; Bauer, Florian ; Stavridou, Nafsika ; Latour, Mikel Iribas ; Bartoli, Gianni ; Schmehl, Roland ; Golightly, Christopher ; Barth, Stephan ; Schild, Philippe ; Gkoumas, Konstantinos ; Baniotopoulos, Charalampos ; Rasmussen, Flemming. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:113:y:2019:i:c:18.

2020

Internet data centers participating in demand response: A comprehensive review. (2020). Liu, Qiang ; Chen, Songsong ; Song, Meng ; Gao, Ciwei . In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:117:y:2020:i:c:s1364032119306744.

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2020Machine learning models to quantify and map daily global solar radiation and photovoltaic power. (2020). Feng, YU ; Gao, Lili ; Gong, Daozhi ; Cui, Ningbo ; Li, Haoru ; Hao, Weiping. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:118:y:2020:i:c:s136403211930601x.

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2020Evaluating economic feasibility and maximization of social welfare of photovoltaic projects developed for the Brazilian northeastern coast: An attribute agreement analysis. (2020). Camatta, Ulisses Pessin ; de Oliveira, Edson ; de Queiroz, Anderson Rodrigo ; de Paiva, Anderson Paulo ; Balestrassi, Pedro Paulo ; Aquila, Giancarlo. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:123:y:2020:i:c:s1364032120300824.

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2019District Heating Load Prediction Algorithm Based on Feature Fusion LSTM Model. (2019). Song, Jiancai ; Lin, Tao ; Pan, YU ; Xue, Guixiang ; Wang, Zhipan ; Qi, Chengying. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:11:p:2122-:d:236771.

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2019Development of an SVR Model for the Fault Diagnosis of Large-Scale Doubly-Fed Wind Turbines Using SCADA Data. (2019). Zhang, Kang ; Liao, Lida ; Huang, Bin ; Long, Wen ; Wu, Huawei ; Zhao, QI ; Chen, Wei ; Tang, Mingzhu. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:17:p:3396-:d:263662.

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2019Modelling Hourly Global Horizontal Irradiance from Satellite-Derived Datasets and Climate Variables as New Inputs with Artificial Neural Networks. (2019). Ameen, Bikhtiyar ; Wheeler, James ; Jarvis, Claire ; Balzter, Heiko. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:1:p:148-:d:194446.

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2019Recent Approaches of Forecasting and Optimal Economic Dispatch to Overcome Intermittency of Wind and Photovoltaic (PV) Systems: A Review. (2019). Farooq, Umar ; Raza, Ali ; Nasir, Mashood ; Koola, Paul Mario ; Khan, Irfan ; Abbas, Ghulam ; Ellahi, Manzoor. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:22:p:4392-:d:288509.

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2019Maintenance Models Applied to Wind Turbines. A Comprehensive Overview. (2019). Merizalde, Yuri ; Alonso-Gomez, Victor ; Duque-Perez, Oscar ; Hernandez-Callejo, Luis. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:2:p:225-:d:196983.

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2019District Heating Challenges for the UK. (2019). Millar, Michael-Allan ; Yu, Zhibin ; Burnside, Neil M. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:2:p:310-:d:199198.

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2019Wind Power Prediction Based on Extreme Learning Machine with Kernel Mean p -Power Error Loss. (2019). Ma, Wentao ; He, Fuxing ; Li, Ning. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:4:p:673-:d:207343.

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2019State of the Art of Machine Learning Models in Energy Systems, a Systematic Review. (2019). Mosavi, Amir ; Varkonyi-Koczy, Annamaria R ; Shamshirband, Shahaboddin ; Rabczuk, Timon ; Ardabili, Sina Faizollahzadeh ; Salimi, Mohsen. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:7:p:1301-:d:220079.

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2020Exploring the Potentials of Artificial Neural Network Trained with Differential Evolution for Estimating Global Solar Radiation. (2020). Hamam, Yskandar ; Munda, Josiah L ; Babatunde, Olubayo M. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:10:p:2488-:d:358370.

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2020Near Real-Time Global Solar Radiation Forecasting at Multiple Time-Step Horizons Using the Long Short-Term Memory Network. (2020). Abdulla, Shahab ; Raj, Nawin ; Ali, Mumtaz ; An-Vo, Duc-Anh ; Deo, Ravinesh C ; Huynh, Anh Ngoc-Lan. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:14:p:3517-:d:381918.

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2020Optimal Kernel ELM and Variational Mode Decomposition for Probabilistic PV Power Prediction. (2020). Liu, BO ; Zhang, QI ; Lai, Loi Lei ; Bai, Chenchen ; Wu, Xiaomei. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:14:p:3592-:d:383578.

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2020An Intelligent Model to Predict Energy Performances of Residential Buildings Based on Deep Neural Networks. (2020). Weckman, Gary R ; Young, William A ; Sinaki, Roohollah Younes ; Sadeghi, Azadeh. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:3:p:571-:d:312867.

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2020Solar Energy Technology for Northern Cyprus: Assessment, Statistical Analysis, and Feasibility Study. (2020). Kassem, Youssef ; Amur, Huseyin ; Awadh, Salman Mohammed. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:4:p:940-:d:322758.

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2020Comparative Analyses of Energy Efficiency between on-Demand and Predictive Controls for Buildings’ Indoor Thermal Environment. (2020). Ahn, Jong Hoon ; Sung, Lee-Yong. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:5:p:1089-:d:327069.

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2020An Integrated Energy Simulation Model for Buildings. (2020). Galanis, Georgios N ; Isidori, Daniela ; Kampelis, Nikolaos ; Cristalli, Cristina ; Kolokotsa, Dionysia ; Papayiannis, Georgios I ; Yannacopoulos, Athanasios N. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:5:p:1170-:d:328300.

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2020Forecasting of Day-Ahead Natural Gas Consumption Demand in Greece Using Adaptive Neuro-Fuzzy Inference System. (2020). Stamoulis, George ; Bochtis, Dionysis ; Poczeta, Katarzyna ; Papageorgiou, Elpiniki I. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:9:p:2317-:d:354789.

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2019A CFD Based Application of Support Vector Regression to Determine the Optimum Smooth Twist for Wind Turbine Blades. (2019). Kaya, Mustafa. In: Sustainability. RePEc:gam:jsusta:v:11:y:2019:i:16:p:4502-:d:259199.

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2020Machine Learning Application in Reservoir Water Level Forecasting for Sustainable Hydropower Generation Strategy. (2020). El-Shafie, Ahmed ; Ahmed, Ali Najah ; Kushiar, Khairul Faizal ; Ridwan, Wanie M ; Sapitang, Michelle. In: Sustainability. RePEc:gam:jsusta:v:12:y:2020:i:15:p:6121-:d:391797.

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2020Temporal Scaling of Water Level Fluctuations in Shallow Lakes and Its Impacts on the Lake Eco-Environments. (2020). Yang, Shengtian ; Alifujiang, Yilinuer ; Simayi, Zibibula ; Aishan, Tayierjiang ; Maihemuti, Balati. In: Sustainability. RePEc:gam:jsusta:v:12:y:2020:i:9:p:3541-:d:350747.

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2019The Action Control Model for Robotic Fish Using Improved Extreme Learning Machine. (2019). Cai, Shuting ; Hu, Zefeng ; Chen, Shuibiao ; Zhang, Xuexi ; Xiong, Xiaoming. In: Complexity. RePEc:hin:complx:7456031.

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2020The allocation optimization of promotion budget and traffic volume for an online flash-sales platform. (2020). Zhou, Yong-Wu ; Cao, Bin ; Zhong, Yuanguang ; Chen, Chuanying. In: Annals of Operations Research. RePEc:spr:annopr:v:291:y:2020:i:1:d:10.1007_s10479-018-3065-y.

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2020Short-term multiple power type prediction based on deep learning. (2020). Wei, Ran ; Dang, Xin ; You, Yue ; Wang, Huiquan ; Gan, Qirui. In: International Journal of System Assurance Engineering and Management. RePEc:spr:ijsaem:v:11:y:2020:i:4:d:10.1007_s13198-019-00885-8.

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2020Retraction Note to: Potential of support vector regression for solar radiation prediction in Nigeria. (2020). Olatomiwa, Lanre ; Petkovic, Dalibor ; Shamshirband, Shahaboddin ; Mekhilef, Saad. In: Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards. RePEc:spr:nathaz:v:103:y:2020:i:3:d:10.1007_s11069-020-03956-3.

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2020Joint and conditional dependence modelling of peak district heating demand and outdoor temperature: a copula-based approach. (2020). Righetti, Maurizio ; Menapace, Andrea ; Marta, F. In: Statistical Methods & Applications. RePEc:spr:stmapp:v:29:y:2020:i:2:d:10.1007_s10260-019-00488-4.

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2019Lake Water-Level fluctuations forecasting using Minimax Probability Machine Regression, Relevance Vector Machine, Gaussian Process Regression, and Extreme Learning Machine. (2019). Bonakdari, Hossein ; Gharabaghi, Bahram ; Samui, Pijush ; Ebtehaj, Isa. In: Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA). RePEc:spr:waterr:v:33:y:2019:i:11:d:10.1007_s11269-019-02346-0.

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Comparative Study of Conventional and Computerized Reconstruction Techniques for Flow Time Series Data of Hydrometric Station. (2019). Mohamadi, Mohamad ; Tavakoli, Fateme ; Nozari, Hamed . In: Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA). RePEc:spr:waterr:v:33:y:2019:i:6:d:10.1007_s11269-019-2203-x.

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Works by Shahaboddin Shamshirband:

YearTitleTypeCited
2015A survey of water level fluctuation predicting in Urmia Lake using support vector machine with firefly algorithm In: Applied Mathematics and Computation.
[Full Text][Citation analysis]		article6
2016Firefly optimization algorithm effect on support vector regression prediction improvement of a modified labyrinth side weirs discharge coefficient In: Applied Mathematics and Computation.
[Full Text][Citation analysis]		article2
2016A simulation model for visitors’ thermal comfort at urban public squares using non-probabilistic binary-linear classifier through soft-computing methodologies In: Energy.
[Full Text][Citation analysis]		article1
2016Application of adaptive neuro-fuzzy methodology for performance investigation of a power-augmented vertical axis wind turbine In: Energy.
[Full Text][Citation analysis]		article7
2014Adaptive neuro-fuzzy maximal power extraction of wind turbine with continuously variable transmission In: Energy.
[Full Text][Citation analysis]		article25
2014Support vector regression methodology for wind turbine reaction torque prediction with power-split hydrostatic continuous variable transmission In: Energy.
[Full Text][Citation analysis]		article9
2015Wind wake influence estimation on energy production of wind farm by adaptive neuro-fuzzy methodology In: Energy.
[Full Text][Citation analysis]		article12
2015Appraisal of soft computing methods for short term consumers heat load prediction in district heating systems In: Energy.
[Full Text][Citation analysis]		article7
2015Predicting the wind power density based upon extreme learning machine In: Energy.
[Full Text][Citation analysis]		article12
2015Forecasting of consumers heat load in district heating systems using the support vector machine with a discrete wavelet transform algorithm In: Energy.
[Full Text][Citation analysis]		article16
2015Adaptive neuro-fuzzy estimation of diffuser effects on wind turbine performance In: Energy.
[Full Text][Citation analysis]		article4
2015Appraisal of the support vector machine to forecast residential heating demand for the District Heating System based on the monthly overall natural gas consumption In: Energy.
[Full Text][Citation analysis]		article20
2016The use of ELM-WT (extreme learning machine with wavelet transform algorithm) to predict exergetic performance of a DI diesel engine running on diesel/biodiesel blends containing polymer waste In: Energy.
[Full Text][Citation analysis]		article7
2016Prediction of heat load in district heating systems by Support Vector Machine with Firefly searching algorithm In: Energy.
[Full Text][Citation analysis]		article16
2016Comparative study of clustering methods for wake effect analysis in wind farm In: Energy.
[Full Text][Citation analysis]		article10
2016Estimating building energy consumption using extreme learning machine method In: Energy.
[Full Text][Citation analysis]		article24
2014Adaptive neuro-fuzzy generalization of wind turbine wake added turbulence models In: Renewable and Sustainable Energy Reviews.
[Full Text][Citation analysis]		article3
2014Potential of radial basis function based support vector regression for global solar radiation prediction In: Renewable and Sustainable Energy Reviews.
[Full Text][Citation analysis]		article16
2015A multi-objective evolutionary algorithm for energy management of agricultural systems—A case study in Iran In: Renewable and Sustainable Energy Reviews.
[Full Text][Citation analysis]		article8
2015Developing a fuzzy clustering model for better energy use in farm management systems In: Renewable and Sustainable Energy Reviews.
[Full Text][Citation analysis]		article3
2015Heat load prediction in district heating systems with adaptive neuro-fuzzy method In: Renewable and Sustainable Energy Reviews.
[Full Text][Citation analysis]		article15
2015Adaptive neuro-fuzzy approach for solar radiation prediction in Nigeria In: Renewable and Sustainable Energy Reviews.
[Full Text][Citation analysis]		article20
2015A comparative evaluation for identifying the suitability of extreme learning machine to predict horizontal global solar radiation In: Renewable and Sustainable Energy Reviews.
[Full Text][Citation analysis]		article21
2016Application of adaptive neuro-fuzzy methodology for estimating building energy consumption In: Renewable and Sustainable Energy Reviews.
[Full Text][Citation analysis]		article7
2016Determining the most important variables for diffuse solar radiation prediction using adaptive neuro-fuzzy methodology; case study: City of Kerman, Iran In: Renewable and Sustainable Energy Reviews.
[Full Text][Citation analysis]		article14
2016Estimating the diffuse solar radiation using a coupled support vector machine–wavelet transform model In: Renewable and Sustainable Energy Reviews.
[Full Text][Citation analysis]		article20
2016Survey of the most influential parameters on the wind farm net present value (NPV) by adaptive neuro-fuzzy approach In: Renewable and Sustainable Energy Reviews.
[Full Text][Citation analysis]		article11
2016A systematic extreme learning machine approach to analyze visitors׳ thermal comfort at a public urban space In: Renewable and Sustainable Energy Reviews.
[Full Text][Citation analysis]		article2
2016Assessing the proficiency of adaptive neuro-fuzzy system to estimate wind power density: Case study of Aligoodarz, Iran In: Renewable and Sustainable Energy Reviews.
[Full Text][Citation analysis]		article2
2016Selection of climatic parameters affecting wave height prediction using an enhanced Takagi-Sugeno-based fuzzy methodology In: Renewable and Sustainable Energy Reviews.
[Full Text][Citation analysis]		article2
2016Design and state of art of innovative wind turbine systems In: Renewable and Sustainable Energy Reviews.
[Full Text][Citation analysis]		article10
2016Sustainable Cloud Data Centers: A survey of enabling techniques and technologies In: Renewable and Sustainable Energy Reviews.
[Full Text][Citation analysis]		article6
2016Identifying the most significant input parameters for predicting global solar radiation using an ANFIS selection procedure In: Renewable and Sustainable Energy Reviews.
[Full Text][Citation analysis]		article7
2017The intelligent forecasting of the performances in PV/T collectors based on soft computing method In: Renewable and Sustainable Energy Reviews.
[Full Text][Citation analysis]		article1
2015Using the gravitational emulation local search algorithm to solve the multi-objective flexible dynamic job shop scheduling problem in Small and Medium Enterprises In: Annals of Operations Research.
[Full Text][Citation analysis]		article1
2015OSGA: genetic-based open-shop scheduling with consideration of machine maintenance in small and medium enterprises In: Annals of Operations Research.
[Full Text][Citation analysis]		article1
RETRACTED ARTICLE: A systematic review on post-implementation evaluation models of enterprise architecture artefacts In: Information Systems Frontiers.
[Full Text][Citation analysis]		article0
2017An effective Enterprise Architecture Implementation Methodology In: Information Systems and e-Business Management.
[Full Text][Citation analysis]		article1
An effective Enterprise Architecture Implementation Methodology.() In: Information Systems and e-Business Management.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 1		article
Potential of soft computing approach for evaluating the factors affecting the capacity of steel–concrete composite beam In: Journal of Intelligent Manufacturing.
[Full Text][Citation analysis]		article0
2014Adaptive neuro-fuzzy selection of the optimal parameters of protective spur dike In: Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards.
[Full Text][Citation analysis]		article1
2014Adaptive neuro-fuzzy prediction of the optimum parameters of protective spur dike In: Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards.
[Full Text][Citation analysis]		article1
2015Potential of support vector regression for solar radiation prediction in Nigeria In: Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards.
[Full Text][Citation analysis]		article7
2015Analysis of the social capital indicators by using DEMATEL approach: the case of Islamic Azad University In: Quality & Quantity: International Journal of Methodology.
[Full Text][Citation analysis]		article1
2015An architecture of agent-based multi-layer interactive e-learning and e-testing platform In: Quality & Quantity: International Journal of Methodology.
[Full Text][Citation analysis]		article1
2017Historical path of traditional and modern idea of ‘conscious universe’ In: Quality & Quantity: International Journal of Methodology.
[Full Text][Citation analysis]		article0
2016Prediction of Water-Level in the Urmia Lake Using the Extreme Learning Machine Approach In: Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA).
[Full Text][Citation analysis]		article1
2016Precipitation Estimation Using Support Vector Machine with Discrete Wavelet Transform In: Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA).
[Full Text][Citation analysis]		article3
2016Precipitation Estimation Using Support Vector Machine with Discrete Wavelet Transform.(2016) In: Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA).
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 3		article
2016A Novel Method to Water Level Prediction using RBF and FFA In: Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA).
[Full Text][Citation analysis]		article3

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