Weigang Zhao : Citation Profile


Are you Weigang Zhao?

Beijing Institute of Technology

7

H index

6

i10 index

193

Citations

RESEARCH PRODUCTION:

8

Articles

1

Papers

RESEARCH ACTIVITY:

   7 years (2011 - 2018). See details.
   Cites by year: 27
   Journals where Weigang Zhao has often published
   Relations with other researchers
   Recent citing documents: 81.    Total self citations: 4 (2.03 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/pzh667
   Updated: 2019-08-17    RAS profile: 2018-07-13    
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Relations with other researchers


Works with:

Wei, Yi-Ming (3)

Wang, Ke (2)

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

Is cited by:

Afanasyev, Dmitriy (4)

Yu, Lean (4)

Wei, Yi-Ming (2)

Ozturk, Ilhan (1)

Lin, Boqiang (1)

Hong, Wei-Chiang (1)

To, Wai Ming (1)

Flores, Juan (1)

Ritter, Matthias (1)

Herrerias, Maria Jesus (1)

Sahraei-Ardakani, Mostafa (1)

Cites to:

Wei, Yi-Ming (6)

Lin, Boqiang (5)

Tang, Bao-Jun (4)

Ben Taieb, Souhaib (4)

Liao, Hua (4)

Yu, Lean (3)

Zhou, Peng (2)

Wang, Sun Ling (2)

McPhail, Lihong (2)

Ozbugday, Fatih Cemil (2)

Lee, Tae Hwy (2)

Main data


Where Weigang Zhao has published?


Journals with more than one article published# docs
Applied Energy3

Recent works citing Weigang Zhao (2018 and 2017)


YearTitle of citing document
2017Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regression. (2017). Wei, Yi-Ming ; Zhang, Tao ; Wu, Zhanchi ; Wang, Ping ; Zhu, Bangzhu. In: Applied Energy. RePEc:eee:appene:v:191:y:2017:i:c:p:521-530.

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2017Short-term wind speed forecasting by spectral analysis from long-term observations with missing values. (2017). Akay, Huseyin ; Filik, Tansu . In: Applied Energy. RePEc:eee:appene:v:191:y:2017:i:c:p:653-662.

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2017Forecasting electricity demand for Turkey: Modeling periodic variations and demand segregation. (2017). Yukseltan, Ergun ; Bilge, Ayse Humeyra ; Yucekaya, Ahmet . In: Applied Energy. RePEc:eee:appene:v:193:y:2017:i:c:p:287-296.

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2017Multi-step wind speed and power forecasts based on a WRF simulation and an optimized association method. (2017). Zhao, Jing ; Guo, Zhenhai ; Chi, Dezhong ; Wang, Jianzhou ; Xiao, Xia. In: Applied Energy. RePEc:eee:appene:v:197:y:2017:i:c:p:183-202.

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2017Research and application of a hybrid wavelet neural network model with the improved cuckoo search algorithm for electrical power system forecasting. (2017). Xiao, Liye ; Jin, Congjun ; Ma, Jing ; Yu, Mengxia ; Shao, Wei. In: Applied Energy. RePEc:eee:appene:v:198:y:2017:i:c:p:203-222.

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2018Day-ahead spatio-temporal forecasting of solar irradiation along a navigation route. (2018). Lan, Hai ; Cheng, Peng ; Yu, David C ; Wen, Shuli ; Hong, Ying-Yi ; Yin, HE. In: Applied Energy. RePEc:eee:appene:v:211:y:2018:i:c:p:15-27.

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2018An analysis-forecast system for uncertainty modeling of wind speed: A case study of large-scale wind farms. (2018). Wang, Jianzhou ; Du, Pei ; Yang, Wendong ; Guo, Zhenhai ; Lu, Haiyan ; Niu, Tong. In: Applied Energy. RePEc:eee:appene:v:211:y:2018:i:c:p:492-512.

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2018Robust ensemble learning framework for day-ahead forecasting of household based energy consumption. (2018). Alobaidi, Mohammad H ; Meguid, Mohamed A ; Chebana, Fateh. In: Applied Energy. RePEc:eee:appene:v:212:y:2018:i:c:p:997-1012.

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2018A novel combined model based on advanced optimization algorithm for short-term wind speed forecasting. (2018). Song, Jingjing ; Lu, Haiyan ; Wang, Jianzhou. In: Applied Energy. RePEc:eee:appene:v:215:y:2018:i:c:p:643-658.

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2018Time-series prediction of wind speed using machine learning algorithms: A case study Osorio wind farm, Brazil. (2018). Khosravi, A ; Nunes, R O ; Machado, L. In: Applied Energy. RePEc:eee:appene:v:224:y:2018:i:c:p:550-566.

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2018A hybrid system for short-term wind speed forecasting. (2018). He, Qingqing ; Lu, Haiyan ; Wang, Jianzhou. In: Applied Energy. RePEc:eee:appene:v:226:y:2018:i:c:p:756-771.

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2018Applications of hybrid models in chemical, petroleum, and energy systems: A systematic review. (2018). Zendehboudi, Sohrab ; Lohi, Ali ; Rezaei, Nima . In: Applied Energy. RePEc:eee:appene:v:228:y:2018:i:c:p:2539-2566.

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2018A combination forecasting approach applied in multistep wind speed forecasting based on a data processing strategy and an optimized artificial intelligence algorithm. (2018). Yang, Zhongshan ; Wang, Jian. In: Applied Energy. RePEc:eee:appene:v:230:y:2018:i:c:p:1108-1125.

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2018Multi-step ahead wind speed prediction based on optimal feature extraction, long short term memory neural network and error correction strategy. (2018). Wang, Jujie ; Li, Yaning. In: Applied Energy. RePEc:eee:appene:v:230:y:2018:i:c:p:429-443.

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2019A hybrid forecasting system based on a dual decomposition strategy and multi-objective optimization for electricity price forecasting. (2019). Du, Pei ; Niu, Tong ; Wang, Jianzhou ; Yang, Wendong. In: Applied Energy. RePEc:eee:appene:v:235:y:2019:i:c:p:1205-1225.

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2019A hybrid forecasting system based on fuzzy time series and multi-objective optimization for wind speed forecasting. (2019). Heng, Jiani ; Yang, Hufang ; Jiang, Ping. In: Applied Energy. RePEc:eee:appene:v:235:y:2019:i:c:p:786-801.

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2019A review and discussion of decomposition-based hybrid models for wind energy forecasting applications. (2019). Chen, Niya ; Zareipour, Hamidreza ; Pei, Yan ; Qian, Zheng. In: Applied Energy. RePEc:eee:appene:v:235:y:2019:i:c:p:939-953.

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2019Hybrid forecasting model based on long short term memory network and deep learning neural network for wind signal. (2019). Rodriguez, Dragan ; Wu, Fengzhi ; Zhang, Lei ; Lee, Brendan ; Liang, Zhanhao ; Qin, Yong. In: Applied Energy. RePEc:eee:appene:v:236:y:2019:i:c:p:262-272.

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

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2019Energy and CO2 implications of decarbonization strategies for China beyond efficiency: Modeling 2050 maximum renewable resources and accelerated electrification impacts. (2019). Feng, Wei ; Zhang, Jingjing ; Karali, Nihan ; Zhou, Nan ; Fridley, David ; Khanna, Nina . In: Applied Energy. RePEc:eee:appene:v:242:y:2019:i:c:p:12-26.

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2019Undesirable and desirable energy congestion measurements for regional coal-fired power generation industry in China. (2019). Yang, Guo-Liang ; Yuan, Xiao-Chen ; Zhao, Weigang ; Li, Jinkai ; Chen, Zhenling. In: Energy Policy. RePEc:eee:enepol:v:125:y:2019:i:c:p:122-134.

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2017Novel grey prediction model with nonlinear optimized time response method for forecasting of electricity consumption in China. (2017). Dang, Yaoguo ; Gong, Yande ; Xu, Ning. In: Energy. RePEc:eee:energy:v:118:y:2017:i:c:p:473-480.

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2017Short-term wind speed forecasting using a hybrid model. (2017). Jiang, Ping ; Wang, Jianzhou. In: Energy. RePEc:eee:energy:v:119:y:2017:i:c:p:561-577.

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2017A hybrid forecasting model based on date-framework strategy and improved feature selection technology for short-term load forecasting. (2017). Jiang, Ping ; Song, Yiliao ; Liu, Feng. In: Energy. RePEc:eee:energy:v:119:y:2017:i:c:p:694-709.

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2017A new chaotic time series hybrid prediction method of wind power based on EEMD-SE and full-parameters continued fraction. (2017). Wang, Cong ; Fan, Wenhui ; Zhang, Hongli ; Ma, Ping. In: Energy. RePEc:eee:energy:v:138:y:2017:i:c:p:977-990.

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2017A seasonal direct optimal hybrid model of computational intelligence and soft computing techniques for electricity load forecasting. (2017). Khashei, Mehdi ; Chahkoutahi, Fatemeh. In: Energy. RePEc:eee:energy:v:140:y:2017:i:p1:p:988-1004.

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2018Analysis and forecasting of the oil consumption in China based on combination models optimized by artificial intelligence algorithms. (2018). Li, Jingrui ; Wang, Jianzhou. In: Energy. RePEc:eee:energy:v:144:y:2018:i:c:p:243-264.

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2018Oil price forecasting using a hybrid model. (2018). Safari, Ali ; Davallou, Maryam. In: Energy. RePEc:eee:energy:v:148:y:2018:i:c:p:49-58.

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2018Short-term power output forecasting of hourly operation in power plant based on climate factors and effects of wind direction and wind speed. (2018). Dadkhah, Mojtaba ; Chavoshi, Ahmad Zare ; Rezaee, Mustafa Jahangoshai. In: Energy. RePEc:eee:energy:v:148:y:2018:i:c:p:775-788.

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2018Forecasting Chinas electricity consumption using a new grey prediction model. (2018). Ding, Song ; Dang, Yao-guo ; Hipel, Keith W. In: Energy. RePEc:eee:energy:v:149:y:2018:i:c:p:314-328.

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2018Analysis of wind power intermittency based on historical wind power data. (2018). Ren, Guorui ; Soder, Lennart ; Yu, Daren ; Liu, Jinfu ; Wan, Jie. In: Energy. RePEc:eee:energy:v:150:y:2018:i:c:p:482-492.

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2018A novel data-driven approach for residential electricity consumption prediction based on ensemble learning. (2018). Chen, Kunlong ; Zheng, Fangdan ; Jiang, Jiuchun. In: Energy. RePEc:eee:energy:v:150:y:2018:i:c:p:49-60.

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2018On the use of dynamic reliability for an accurate modelling of renewable power plants. (2018). Chiacchio, Ferdinando ; Catterson, Victoria M ; Aizpurua, Jose Ignacio ; Brusca, Sebastian ; Famoso, Fabio ; Durso, Diego. In: Energy. RePEc:eee:energy:v:151:y:2018:i:c:p:605-621.

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2018A seasonal GM(1,1) model for forecasting the electricity consumption of the primary economic sectors. (2018). Wang, Zheng-Xin ; Pei, Ling-Ling ; Li, Qin. In: Energy. RePEc:eee:energy:v:154:y:2018:i:c:p:522-534.

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2018Using a novel multi-variable grey model to forecast the electricity consumption of Shandong Province in China. (2018). Wu, Lifeng ; Chen, Xiangnan ; Yang, Yingjie ; Xiao, Yanli ; Gao, Xiaohui. In: Energy. RePEc:eee:energy:v:157:y:2018:i:c:p:327-335.

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2018A hybrid forecasting approach applied in wind speed forecasting based on a data processing strategy and an optimized artificial intelligence algorithm. (2018). Yang, Zhongshan ; Wang, Jian. In: Energy. RePEc:eee:energy:v:160:y:2018:i:c:p:87-100.

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2018Impact of technological progress on Chinas textile industry and future energy saving potential forecast. (2018). Lin, Boqiang ; Zhang, Guoliang ; Chen, YU. In: Energy. RePEc:eee:energy:v:161:y:2018:i:c:p:859-869.

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2018Improving forecasting accuracy of daily enterprise electricity consumption using a random forest based on ensemble empirical mode decomposition. (2018). Li, Chuan ; Bai, Yun ; Yang, Shuai ; Ao, Wengang ; Tao, Ying . In: Energy. RePEc:eee:energy:v:165:y:2018:i:pb:p:1220-1227.

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2018A novel hybridization of nonlinear grey model and linear ARIMA residual correction for forecasting U.S. shale oil production. (2018). Wang, Qiang ; Li, Rongrong ; Song, Xiaoxing. In: Energy. RePEc:eee:energy:v:165:y:2018:i:pb:p:1320-1331.

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2019Risk-aware stochastic bidding strategy of renewable micro-grids in day-ahead and real-time markets. (2019). Mohammadi-Ivatloo, Behnam ; Ehsan, Mehdi ; Fazlalipour, Pary. In: Energy. RePEc:eee:energy:v:171:y:2019:i:c:p:689-700.

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2017Modelling the variability of the wind energy resource on monthly and seasonal timescales. (2017). Alonzo, Bastien ; Tankov, Peter ; Plougonven, Riwal ; Drobinski, Philippe ; Jourdier, Benedicte ; Ringkjob, Hans-Kristian . In: Renewable Energy. RePEc:eee:renene:v:113:y:2017:i:c:p:1434-1446.

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2017A hybrid approach based on the Gaussian process with t-observation model for short-term wind speed forecasts. (2017). Hu, Jianming ; Xiao, Liqun ; Wang, Jianzhou. In: Renewable Energy. RePEc:eee:renene:v:114:y:2017:i:pb:p:670-685.

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2018Short term wind power forecasting using hybrid variational mode decomposition and multi-kernel regularized pseudo inverse neural network. (2018). Naik, Jyotirmayee ; Bisoi, Ranjeeta ; Dash, P K. In: Renewable Energy. RePEc:eee:renene:v:118:y:2018:i:c:p:180-212.

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2018Multi-step-ahead wind speed forecasting based on optimal feature selection and a modified bat algorithm with the cognition strategy. (2018). Niu, Tong ; Du, Pei ; Zhang, Kequan ; Wang, Jianzhou. In: Renewable Energy. RePEc:eee:renene:v:118:y:2018:i:c:p:213-229.

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2018Prediction interval forecasting of wind speed and wind power using modes decomposition based low rank multi-kernel ridge regression. (2018). Naik, Jyotirmayee ; Dash, P K ; Bisoi, Ranjeeta. In: Renewable Energy. RePEc:eee:renene:v:129:y:2018:i:pa:p:357-383.

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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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2017A review of the decomposition methodology for extracting and identifying the fluctuation characteristics in electricity demand forecasting. (2017). Shao, Zhen ; Zhou, Kai-Le ; Yang, Shan-Lin ; Chao, FU. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:75:y:2017:i:c:p:123-136.

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2017Renewable energy: Present research and future scope of Artificial Intelligence. (2017). Kr, Sunil ; Zhang, Han ; Patel, Nilesh ; Jha, Anju ; Bilalovic, Jasmin . In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:77:y:2017:i:c:p:297-317.

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2018Forecasting methods in energy planning models. (2018). Debnath, Kumar Biswajit ; Mourshed, Monjur. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:88:y:2018:i:c:p:297-325.

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2017Grey Relational Analysis for Insulation Condition Assessment of Power Transformers Based Upon Conventional Dielectric Response Measurement. (2017). Liu, Jiefeng ; Liao, Ruijin ; Wei, Hua ; Zhang, Yiyi ; Zheng, Hanbo. In: Energies. RePEc:gam:jeners:v:10:y:2017:i:10:p:1526-:d:114290.

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2017Study on Quantitative Correlations between the Ageing Condition of Transformer Cellulose Insulation and the Large Time Constant Obtained from the Extended Debye Model. (2017). Zhang, Yiyi ; Liao, Ruijin ; Wei, Hua ; Zheng, Hanbo ; Liu, Jiefeng. In: Energies. RePEc:gam:jeners:v:10:y:2017:i:11:p:1842-:d:118444.

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2017A Method of Abnormal States Detection Based on Adaptive Extraction of Transformer Vibro-Acoustic Signals. (2017). Zou, Liang ; Zhao, Tong ; Zhang, LI ; Liu, Han ; Guo, Yongkang. In: Energies. RePEc:gam:jeners:v:10:y:2017:i:12:p:2076-:d:121982.

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2017Hybrid Forecasting Approach Based on GRNN Neural Network and SVR Machine for Electricity Demand Forecasting. (2017). Li, Weide ; Su, Lili ; Yang, Xuan. In: Energies. RePEc:gam:jeners:v:10:y:2017:i:1:p:44-:d:86757.

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2017Modeling of Monthly Residential and Commercial Electricity Consumption Using Nonlinear Seasonal Models—The Case of Hong Kong. (2017). To, Wai Ming ; Lai, Tsz-Ming ; Ka, Peter. In: Energies. RePEc:gam:jeners:v:10:y:2017:i:7:p:885-:d:103176.

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2017An Innovative Hybrid Model Based on Data Pre-Processing and Modified Optimization Algorithm and Its Application in Wind Speed Forecasting. (2017). Jiang, Ping ; Yang, Wendong ; Zhang, Kequan ; Wang, Zeng. In: Energies. RePEc:gam:jeners:v:10:y:2017:i:7:p:954-:d:104152.

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2017Analysis and Experiment of Hot-Spot Temperature Rise of 110 kV Three-Phase Three-Limb Transformer. (2017). Gong, Ruohan ; Duan, Cihan ; Wang, Jian ; Quan, YU ; Chen, Jingzhou ; Ruan, Jiangjun. In: Energies. RePEc:gam:jeners:v:10:y:2017:i:8:p:1079-:d:105836.

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2018A Short-Term Wind Speed Forecasting Model by Using Artificial Neural Networks with Stochastic Optimization for Renewable Energy Systems. (2018). Huang, Chiou-Jye ; Kuo, Ping-Huan. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:10:p:2777-:d:176047.

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2018Short-Term Wind Speed Forecasting Based on Signal Decomposing Algorithm and Hybrid Linear/Nonlinear Models. (2018). Han, Qinkai ; Chu, Fulei ; Wu, Hao. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:11:p:2976-:d:179736.

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2018Hourly Day-Ahead Wind Power Prediction Using the Hybrid Model of Variational Model Decomposition and Long Short-Term Memory. (2018). Shi, Xiaoyu ; Hu, Yuanyuan ; Ren, Kun ; Huang, Shengzhi ; Lei, Xuewen. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:11:p:3227-:d:184407.

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2018Power Transformer Diagnostics, Monitoring and Design Features. (2018). Fofana, Issouf ; Hadjadj, Yazid. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:12:p:3248-:d:184724.

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2018Degradation Tendency Measurement of Aircraft Engines Based on FEEMD Permutation Entropy and Regularized Extreme Learning Machine Using Multi-Sensor Data. (2018). Jiang, Wei ; Liu, Han ; Shan, Yahui ; Xu, Yanhe. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:12:p:3301-:d:185625.

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2018Hot Spot Temperature and Grey Target Theory-Based Dynamic Modelling for Reliability Assessment of Transformer Oil-Paper Insulation Systems: A Practical Case Study. (2018). Cheng, Lefeng ; Zhou, LV ; Yang, BO ; Wang, Guoping ; Yu, Tao. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:1:p:249-:d:127837.

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2018A Novel Hybrid Strategy Using Three-Phase Feature Extraction and a Weighted Regularized Extreme Learning Machine for Multi-Step Ahead Wind Speed Prediction. (2018). Wang, Jujie ; Li, Yaning. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:2:p:321-:d:129905.

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2018Power Loss Minimization for Transformers Connected in Parallel with Taps Based on Power Chargeability Balance. (2018). Jaramillo-Duque, Alvaro ; Albarracin-Sanchez, Ricardo ; Lopez-Lezama, Jesus M ; Ortiz-Castrillon, Jose R ; Muoz-Galeano, Nicolas. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:2:p:439-:d:132089.

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2018A Parameterization Approach for the Dielectric Response Model of Oil Paper Insulation Using FDS Measurements. (2018). Yang, Feng ; He, Peng ; Ran, Liman ; Wang, Youyuan ; Wei, Chao ; Du, Lin. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:3:p:622-:d:135731.

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2018A New Hybrid Prediction Method of Ultra-Short-Term Wind Power Forecasting Based on EEMD-PE and LSSVM Optimized by the GSA. (2018). Lu, Peng ; Teng, Jingzhu ; Zhao, Yongning ; Zhang, Cihang ; Sun, Bohao ; Ye, Lin. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:4:p:697-:d:137246.

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2018A Novel Nonlinear Combined Forecasting System for Short-Term Load Forecasting. (2018). Tian, Chengshi ; Hao, Yan. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:4:p:712-:d:137455.

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2018Short-Term Wind Speed Forecasting Based on Low Redundancy Feature Selection. (2018). Huang, Nantian ; Lin, Lin ; Qi, Bin ; Yu, Zhiyong ; Cai, Guowei ; Xing, Enkai . In: Energies. RePEc:gam:jeners:v:11:y:2018:i:7:p:1638-:d:153983.

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2018A Novel Decomposition-Optimization Model for Short-Term Wind Speed Forecasting. (2018). Zhou, Jianzhong ; Peng, Tian ; Jia, Benjun ; Sun, NA. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:7:p:1752-:d:156128.

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2018The Efficiency of Long-Term Forecasting Model on Final Energy Consumption in Thailand’s Petroleum Industries Sector: Enriching the LT-ARIMAXS Model under a Sustainability Policy. (2018). Sutthichaimethee, Pruethsan ; Kubaha, Kuskana. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:8:p:2063-:d:162649.

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2019Multi-Step Wind Speed Forecasting Based On Ensemble Empirical Mode Decomposition, Long Short Term Memory Network and Error Correction Strategy. (2019). Wang, Guangli ; Liu, Shijian ; Yang, Lei ; Huang, Yuansheng. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:10:p:1822-:d:230867.

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2019A Mixed Receding Horizon Control Strategy for Battery Energy Storage System Scheduling in a Hybrid PV and Wind Power Plant with Different Forecast Techniques. (2019). Kay, Merlinde ; Menictas, Chris ; Bremner, Stephen ; Yang, Yuqing. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:12:p:2326-:d:240737.

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2019Research and Application of a Novel Hybrid Model Based on a Deep Neural Network for Electricity Load Forecasting: A Case Study in Australia. (2019). Wei, Danxiang ; Tang, Guangyu ; Wang, Jianzhou ; Ni, Kailai. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:13:p:2467-:d:243188.

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2019Multi-Step-Ahead Carbon Price Forecasting Based on Variational Mode Decomposition and Fast Multi-Output Relevance Vector Regression Optimized by the Multi-Objective Whale Optimization Algorithm. (2019). Xiong, Shenghua ; Ma, Dan ; Fang, Zhenming ; Wang, Chunfeng. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:1:p:147-:d:194435.

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2019A Review on Hybrid Empirical Mode Decomposition Models for Wind Speed and Wind Power Prediction. (2019). Bokde, Neeraj ; Kulat, Kishore ; Villanueva, Daniel ; Feijoo, Andres. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:2:p:254-:d:197906.

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2019Forecasting the Carbon Price Using Extreme-Point Symmetric Mode Decomposition and Extreme Learning Machine Optimized by the Grey Wolf Optimizer Algorithm. (2019). Li, Yushuo ; Xu, Xiaolei ; Huo, Xuejing ; Zhou, Jianguo. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:5:p:950-:d:213213.

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2018A Hybrid Model Based on A Modified Optimization Algorithm and An Artificial Intelligence Algorithm for Short-Term Wind Speed Multi-Step Ahead Forecasting. (2018). Yao, Zonggui ; Wang, Chen. In: Sustainability. RePEc:gam:jsusta:v:10:y:2018:i:5:p:1443-:d:144780.

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2018Day-Ahead Probabilistic Model for Scheduling the Operation of a Wind Pumped-Storage Hybrid Power Station: Overcoming Forecasting Errors to Ensure Reliability of Supply to the Grid. (2018). Jurasz, Jakub ; Kies, Alexander. In: Sustainability. RePEc:gam:jsusta:v:10:y:2018:i:6:p:1989-:d:152275.

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2018Photovoltaic Power Forecasting Based on EEMD and a Variable-Weight Combination Forecasting Model. (2018). Wang, Hui ; Sun, Jianbo. In: Sustainability. RePEc:gam:jsusta:v:10:y:2018:i:8:p:2627-:d:160111.

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2019Electricity Consumption Changes across China’s Provinces Using A Spatial Shift-Share Decomposition Model. (2019). Liu, Ruowen ; Bao, Chao. In: Sustainability. RePEc:gam:jsusta:v:11:y:2019:i:9:p:2494-:d:226766.

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Works by Weigang Zhao:


YearTitleTypeCited
2018Impacts of shifting China¡¯s final energy consumption to electricity on CO2 emission reduction In: CEEP-BIT Working Papers.
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2016One day ahead wind speed forecasting: A resampling-based approach In: Applied Energy.
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2011A seasonal hybrid procedure for electricity demand forecasting in China In: Applied Energy.
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article21
2012Performance analysis of four modified approaches for wind speed forecasting In: Applied Energy.
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article17
2018Impacts of shifting Chinas final energy consumption to electricity on CO2 emission reduction In: Energy Economics.
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article3
2013Using multi-output feedforward neural network with empirical mode decomposition based signal filtering for electricity demand forecasting In: Energy.
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article31
2014Combining forecasts of electricity consumption in China with time-varying weights updated by a high-order Markov chain model In: Omega.
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article19
2012Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model In: Renewable Energy.
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article76
2016Reliability Analysis and Overload Capability Assessment of Oil-Immersed Power Transformers In: Energies.
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