Tao Hong : Citation Profile


Are you Tao Hong?

9

H index

9

i10 index

347

Citations

RESEARCH PRODUCTION:

10

Articles

10

Papers

RESEARCH ACTIVITY:

   5 years (2013 - 2018). See details.
   Cites by year: 69
   Journals where Tao Hong has often published
   Relations with other researchers
   Recent citing documents: 93.    Total self citations: 14 (3.88 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pho580
   Updated: 2020-10-17    RAS profile: 2018-02-15    
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Relations with other researchers


Works with:

Weron, Rafał (3)

Nowotarski, Jakub (3)

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

Is cited by:

Weron, Rafał (52)

Marcjasz, Grzegorz (23)

Nowotarski, Jakub (22)

Uniejewski, Bartosz (19)

Fukushige, Mototsugu (9)

Maciejowska, Katarzyna (7)

Hyndman, Rob (7)

Féres, José (6)

Trotter, Ian (6)

Serafin, Tomasz (4)

Grossi, Luigi (3)

Cites to:

Weron, Rafał (27)

Hyndman, Rob (16)

Nowotarski, Jakub (12)

Engle, Robert (4)

Vahid, Farshid (4)

Granger, Clive (4)

Trueck, Stefan (4)

Misiorek, Adam (4)

Ben Taieb, Souhaib (4)

Genre, Veronique (3)

Wallis, Kenneth (3)

Main data


Where Tao Hong has published?


Journals with more than one article published# docs
International Journal of Forecasting7

Working Papers Series with more than one paper published# docs
HSC Research Reports / Hugo Steinhaus Center, Wroclaw University of Technology10

Recent works citing Tao Hong (2020 and 2019)


YearTitle of citing document
2019Multivariate Forecasting Evaluation: On Sensitive and Strictly Proper Scoring Rules. (2019). Ziel, Florian ; Berk, Kevin. In: Papers. RePEc:arx:papers:1910.07325.

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2020Daily Middle-Term Probabilistic Forecasting of Power Consumption in North-East England. (2020). Messuti, Giuseppe ; Baviera, Roberto. In: Papers. RePEc:arx:papers:2005.13005.

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2020Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark. (2020). Weron, Rafał ; Marcjasz, Grzegorz ; de Schutter, Bart ; Lago, Jesus. In: Papers. RePEc:arx:papers:2008.08004.

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2019The combination of interval forecasts in tourism. (2019). Liu, Anyu ; Zhou, Menglin ; Wu, Doris Chenguang. In: Annals of Tourism Research. RePEc:eee:anture:v:75:y:2019:i:c:p:363-378.

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2019Electricity consumption probability density forecasting method based on LASSO-Quantile Regression Neural Network. (2019). He, Yaoyao ; Wang, Chao ; Qin, Yang. In: Applied Energy. RePEc:eee:appene:v:233-234:y:2019:i::p:565-575.

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2019Probabilistic individual load forecasting using pinball loss guided LSTM. (2019). Zhang, Ning ; Sun, Mingyang ; Gan, Dahua ; Wang, YI ; Kang, Chongqing ; Lu, Zongxiang. In: Applied Energy. RePEc:eee:appene:v:235:y:2019:i:c:p:10-20.

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2019Probabilistic load forecasting for buildings considering weather forecasting uncertainty and uncertain peak load. (2019). Tang, Rui ; Wang, Shengwei ; Xu, Lei. In: Applied Energy. RePEc:eee:appene:v:237:y:2019:i:c:p:180-195.

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2019Short-term scenario-based probabilistic load forecasting: A data-driven approach. (2019). Pauwels, Eric J ; Khoshrou, Abdolrahman. In: Applied Energy. RePEc:eee:appene:v:238:y:2019:i:c:p:1258-1268.

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2019Residential load forecasting using wavelet and collaborative representation transforms. (2019). Ghassemian, Hassan ; Imani, Maryam. In: Applied Energy. RePEc:eee:appene:v:253:y:2019:i:c:86.

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2020Short-term electrical load forecasting based on error correction using dynamic mode decomposition. (2020). Zhang, Yusen ; Wang, Chengshan ; Li, Chuang ; Kong, Xiangyu. In: Applied Energy. RePEc:eee:appene:v:261:y:2020:i:c:s0306261919320550.

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2020Day-ahead short-term load probability density forecasting method with a decomposition-based quantile regression forest. (2020). He, Zhongzheng ; Liu, Guangbiao ; Feng, Kuaile ; Mo, LI ; Zhou, Jianzhong. In: Applied Energy. RePEc:eee:appene:v:262:y:2020:i:c:s0306261919320835.

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2020Probabilistic forecasts of time and energy flexibility in battery electric vehicle charging. (2020). Weinhardt, Christof ; Dann, David ; Huber, Julian. In: Applied Energy. RePEc:eee:appene:v:262:y:2020:i:c:s0306261920300374.

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2020Probabilistic solar power forecasting based on weather scenario generation. (2020). Zhang, Jie ; Feng, Cong ; Sun, Mucun. In: Applied Energy. RePEc:eee:appene:v:266:y:2020:i:c:s0306261920303354.

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2020Electric load forecasting based on deep learning and optimized by heuristic algorithm in smart grid. (2020). Khan, Imran ; Alimgeer, Khurram Saleem ; Hafeez, Ghulam. In: Applied Energy. RePEc:eee:appene:v:269:y:2020:i:c:s030626192030427x.

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2019Structural combination of seasonal exponential smoothing forecasts applied to load forecasting. (2019). de Menezes, Lilian M ; Rendon-Sanchez, Juan F. In: European Journal of Operational Research. RePEc:eee:ejores:v:275:y:2019:i:3:p:916-924.

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2019Probabilistic forecast reconciliation with applications to wind power and electric load. (2019). Jeon, Joo Young ; Petropoulos, Fotios ; Panagiotelis, Anastasios. In: European Journal of Operational Research. RePEc:eee:ejores:v:279:y:2019:i:2:p:364-379.

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2019On the importance of the long-term seasonal component in day-ahead electricity price forecasting: Part II — Probabilistic forecasting. (2019). Weron, Rafał ; Marcjasz, Grzegorz ; Uniejewski, Bartosz. In: Energy Economics. RePEc:eee:eneeco:v:79:y:2019:i:c:p:171-182.

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2019Getting prices right in structural electricity market models. (2019). Green, Richard ; Staffell, I ; Ward, K R. In: Energy Policy. RePEc:eee:enepol:v:129:y:2019:i:c:p:1190-1206.

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2019Soft-linking energy demand and optimisation models for local long-term electricity planning: An application to rural India. (2019). Riva, Fabio ; Colombo, Emanuela ; Tognollo, Annalisa ; Gardumi, Francesco. In: Energy. RePEc:eee:energy:v:166:y:2019:i:c:p:32-46.

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2019Short term load forecasting based on feature extraction and improved general regression neural network model. (2019). Liang, YI ; Hong, Wei-Chiang ; Niu, Dongxiao. In: Energy. RePEc:eee:energy:v:166:y:2019:i:c:p:653-663.

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2019A bottom-up bayesian extension for long term electricity consumption forecasting. (2019). Souza, Reinaldo C ; Cyrino, Fernando L. In: Energy. RePEc:eee:energy:v:167:y:2019:i:c:p:198-210.

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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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2019An electricity consumption model for synthesizing scalable electricity load curves. (2019). Wang, Lei ; Luo, Chunjie ; Zhan, Jianfeng ; Huang, Yunyou ; Ren, Rui ; Fan, Fanda ; Zheng, Daoyi. In: Energy. RePEc:eee:energy:v:169:y:2019:i:c:p:674-683.

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2019Repurposing an energy system optimization model for seasonal power generation planning. (2019). Sankarasubramanian, A ; Mulcahy, D ; de Queiroz, A R ; Decarolis, J F ; Lu, N ; Mahinthakumar, G ; Deane, J P. In: Energy. RePEc:eee:energy:v:181:y:2019:i:c:p:1321-1330.

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2019Unscented Kalman Filter based interval state estimation of cyber physical energy system for detection of dynamic attack. (2019). Cao, Guangzhong ; Fu, Xueqian ; Liu, Yitao ; Meng, Anjian ; Wang, Huaizhi. In: Energy. RePEc:eee:energy:v:188:y:2019:i:c:s036054421931730x.

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2019Deep ensemble learning based probabilistic load forecasting in smart grids. (2019). Li, Shufang ; Hong, Weijun ; Yang, Yandong. In: Energy. RePEc:eee:energy:v:189:y:2019:i:c:s0360544219320195.

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2020Quantile partial adjustment model with application to predicting energy demand in China. (2020). Cheng, Fenfen ; Zhou, Kaile ; Yang, Shanlin. In: Energy. RePEc:eee:energy:v:191:y:2020:i:c:s0360544219322145.

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2020Load prediction in short-term implementing the multivariate quantile regression. (2020). Zhang, SU ; Xing, Yazhou ; Rouyendegh, Babak Daneshvar ; Shao, Limin ; Wen, Peng. In: Energy. RePEc:eee:energy:v:196:y:2020:i:c:s0360544220301420.

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2020Electricity load dynamics, temperature and seasonality Nexus in Algeria. (2020). Benhassine, Wassim ; Belarbi, Yacine ; Chabouni, Naima. In: Energy. RePEc:eee:energy:v:200:y:2020:i:c:s0360544220306204.

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2020An efficient hour-ahead electrical load forecasting method based on innovative features. (2020). Mashhour, Elaheh ; Joorabian, Mahmood ; Rafati, Amir. In: Energy. RePEc:eee:energy:v:201:y:2020:i:c:s0360544220306186.

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2020Combining forecasts of day-ahead solar power. (2020). Chakrabarti, S ; Singh, S N ; Dewangan, Chaman Lal. In: Energy. RePEc:eee:energy:v:202:y:2020:i:c:s0360544220308501.

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2020Fundamentals and business model for resource aggregator of demand response in electricity markets. (2020). Zhang, Yagang ; Zhou, Zhenyu ; Wang, Fei ; Xu, Hanchen ; Li, Kangping ; Lu, Xiaoxing. In: Energy. RePEc:eee:energy:v:204:y:2020:i:c:s0360544220309920.

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2019Online big data-driven oil consumption forecasting with Google trends. (2019). Yu, Lean ; Yang, Zebin ; Tang, Ling ; Zhao, Yaqing. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:1:p:213-223.

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2019Long-term forecasting of fuel demand at theater entry points. (2019). Grazaitis, Peter J ; Brown, Donald E ; Lobo, Benjamin J. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:2:p:502-520.

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2019Tales from tails: On the empirical distributions of forecasting errors and their implication to risk. (2019). Assimakopoulos, Vassilios ; Nikolopoulos, Konstantinos ; Spiliotis, Evangelos. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:2:p:687-698.

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2019A hybrid machine learning model for forecasting a billing period’s peak electric load days. (2019). McConky, Katie T ; Aponte, Omar ; Saxena, Harshit. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:4:p:1288-1303.

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2019Global energy forecasting competition 2017: Hierarchical probabilistic load forecasting. (2019). Black, Jonathan ; Xie, Jingrui ; Hong, Tao. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:4:p:1389-1399.

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2019Quantile regression for the qualifying match of GEFCom2017 probabilistic load forecasting. (2019). Ziel, Florian. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:4:p:1400-1408.

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2019Neural networks for GEFCom2017 probabilistic load forecasting. (2019). Herre, L ; Mazidi, P ; Dimoulkas, I. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:4:p:1409-1423.

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2019Machine learning methods for GEFCom2017 probabilistic load forecasting. (2019). Hua, Grace N ; Smyl, Slawek. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:4:p:1424-1431.

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2019Reconciled boosted models for GEFCom2017 hierarchical probabilistic load forecasting. (2019). Roach, Cameron. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:4:p:1439-1450.

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2019Data visualization and forecast combination for probabilistic load forecasting in GEFCom2017 final match. (2019). Abdulla, Khalid ; de Hoog, Julian. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:4:p:1451-1459.

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2019Data preprocessing and quantile regression for probabilistic load forecasting in the GEFCom2017 final match. (2019). Quintana, J M ; Kanda, Isao . In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:4:p:1460-1468.

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2019Short term load forecasting and the effect of temperature at the low voltage level. (2019). Arora, Siddharth ; Ziel, Florian ; Giasemidis, Georgios ; Haben, Stephen. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:4:p:1469-1484.

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2019Operational solar forecasting for the real-time market. (2019). Kleissl, Jan ; Wu, Elynn ; Yang, Dazhi. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:4:p:1499-1519.

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2019On the importance of the long-term seasonal component in day-ahead electricity price forecasting with NARX neural networks. (2019). Weron, Rafał ; Marcjasz, Grzegorz ; Uniejewski, Bartosz . In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:4:p:1520-1532.

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2019Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO. (2019). Weron, Rafał ; Marcjasz, Grzegorz ; Uniejewski, Bartosz . In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:4:p:1533-1547.

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2020Forecasting in social settings: The state of the art. (2020). Petropoulos, Fotios ; Hyndman, Rob J ; Makridakis, Spyros. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:1:p:15-28.

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2020The M4 Competition: 100,000 time series and 61 forecasting methods. (2020). Assimakopoulos, Vassilios ; Spiliotis, Evangelos ; Makridakis, Spyros. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:1:p:54-74.

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2020A brief history of forecasting competitions. (2020). Hyndman, Rob J. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:1:p:7-14.

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2020Probabilistic energy forecasting using the nearest neighbors quantile filter and quantile regression. (2020). Hagenmeyer, Veit ; Mikut, Ralf ; Groll, Lutz ; Gonzalez, Jorge Angel. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:2:p:310-323.

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2020Temperature anomaly detection for electric load forecasting. (2020). Martin, Claude ; Hong, Tao ; Sobhani, Masoud. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:2:p:324-333.

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2020Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts?. (2020). Weron, Rafał ; Uniejewski, Bartosz ; Marcjasz, Grzegorz. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:2:p:466-479.

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2020Rethinking weather station selection for electric load forecasting using genetic algorithms. (2020). Muoz, Antonio ; Sanchez-Ubeda, Eugenio F ; Moreno-Carbonell, Santiago. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:2:p:695-712.

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2020Fluctuation analysis of electric power loads in Europe: Correlation multifractality vs. Distribution function multifractality. (2020). Kracik, Jii ; Lavika, Hynek. In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:545:y:2020:i:c:s0378437119321053.

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2019Wind turbine power curve modeling using maximum likelihood estimation method. (2019). Kwak, Ho-Young ; Oh, Si-Doek ; Seo, Seokho. In: Renewable Energy. RePEc:eee:renene:v:136:y:2019:i:c:p:1164-1169.

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2020Intra-day solar probabilistic forecasts including local short-term variability and satellite information. (2020). Lauret, P ; Branco, V ; David, M ; Alonso-Suarez, R. In: Renewable Energy. RePEc:eee:renene:v:158:y:2020:i:c:p:554-573.

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2019Machine-learning methods for integrated renewable power generation: A comparative study of artificial neural networks, support vector regression, and Gaussian Process Regression. (2019). Shah, Nilay ; Sikinioti-Lock, Alexandra ; Sharifzadeh, Mahdi. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:108:y:2019:i:c:p:513-538.

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2019Robust forecasting of electricity prices: Simulations, models and the impact of renewable sources. (2019). Nan, Fany ; Grossi, Luigi. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:141:y:2019:i:c:p:305-318.

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2019Intraday Load Forecasts with Uncertainty. (2019). Fasshauer, Gregory E ; Holladay, Scott ; Kozak, David. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:10:p:1833-:d:231133.

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2019A Comparative Study of Time Series Forecasting Methods for Short Term Electric Energy Consumption Prediction in Smart Buildings. (2019). Vazquez, Jose Luis ; Gomez, Francisco A ; Torres, Miguel Garcia ; Divina, Federico. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:10:p:1934-:d:232835.

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2019Real-Time Energy Management for a Small Scale PV-Battery Microgrid: Modeling, Design, and Experimental Verification. (2019). Thomas, David ; Sumner, Mark ; Elkazaz, Mahmoud. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:14:p:2712-:d:248714.

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2019Hour-Ahead Energy Trading Management with Demand Forecasting in Microgrid Considering Power Flow Constraints. (2019). Song, Zaixin ; Liu, Chunhua ; Feng, Kuo. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:18:p:3494-:d:266055.

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2019Phase Space Reconstruction Algorithm and Deep Learning-Based Very Short-Term Bus Load Forecasting. (2019). Zheng, Jianyong ; Wu, Jianzhang ; Zhou, Cheng ; Pan, YI ; Lu, Jinjun ; Mei, Fei ; Shi, Tian. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:22:p:4349-:d:287190.

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2019Application of the Weighted K-Nearest Neighbor Algorithm for Short-Term Load Forecasting. (2019). Hong, Wei-Chiang ; Zheng, Jia-Mei ; Guo, Yan-Hui ; Fan, Guo-Feng. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:5:p:916-:d:212457.

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2019Developing and Comparing Different Strategies for Combining Probabilistic Photovoltaic Power Forecasts in an Ensemble Method. (2019). de Falco, Pasquale ; Carpinelli, Guido ; Bracale, Antonio. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:6:p:1011-:d:214129.

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2019Combining Weather Stations for Electric Load Forecasting. (2019). Hong, Tao ; Li, Changlin ; Sangamwar, Saurabh ; Campbell, Allison ; Sobhani, Masoud. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:8:p:1510-:d:224789.

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2020Robustness of Short-Term Wind Power Forecasting against False Data Injection Attacks. (2020). Wang, KE ; Lin, Fan ; Zhang, Yao. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:15:p:3780-:d:388735.

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2020Integration of Electric Vehicles in the Distribution Network: A Review of PV Based Electric Vehicle Modelling. (2020). Lie, Tek Tjing ; Zamora, Ramon ; Mohammad, Asaad. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:17:p:4541-:d:407570.

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2020Probabilistic Spatial Load Forecasting Based on Hierarchical Trending Method. (2020). Georgilakis, Pavlos ; Karafotis, Panagiotis ; Evangelopoulos, Vasileios. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:18:p:4643-:d:410051.

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2020An Ultra-Short-Term Electrical Load Forecasting Method Based on Temperature-Factor-Weight and LSTM Model. (2020). Ding, Xiangling ; Xiang, Lingyun ; Li, Feng ; Tong, Haixin ; Zhang, Dengyong. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:18:p:4875-:d:415087.

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2020A Two-Stage Industrial Load Forecasting Scheme for Day-Ahead Combined Cooling, Heating and Power Scheduling. (2020). Hwang, Eenjun ; Baik, Sung Wook ; Rho, Seungmin ; Jung, Seungwon ; Moon, Jihoon ; Park, Sungwoo. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:2:p:443-:d:309648.

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2020Characterizing Meteorological Forecast Impact on Microgrid Optimization Performance and Design. (2020). Berman, Morris ; Vaucher, Gail ; Parker, Gordon ; Jane, Robert. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:3:p:577-:d:313107.

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2020Short-Term Building Electrical Energy Consumption Forecasting by Employing Gene Expression Programming and GMDH Networks. (2020). Timur, Ouzhan ; Zor, Kasim ; Teke, Ahmet ; Elik, Ozgur. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:5:p:1102-:d:327246.

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2020Load Nowcasting: Predicting Actuals with Limited Data. (2020). Ziel, Florian. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:6:p:1443-:d:334632.

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2020Time Series Decomposition of the Daily Outdoor Air Temperature in Europe for Long-Term Energy Forecasting in the Context of Climate Change. (2020). Muoz, Antonio ; Sanchez-Ubeda, Eugenio F ; Moreno-Carbonell, Santiago. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:7:p:1569-:d:338570.

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2020The Impact of Imperfect Weather Forecasts on Wind Power Forecasting Performance: Evidence from Two Wind Farms in Greece. (2020). Nikolopoulos, Konstantinos ; Petropoulos, Fotios ; Spiliotis, Evangelos. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:8:p:1880-:d:344678.

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2020Assessing and Comparing Short Term Load Forecasting Performance. (2020). Niska, Harri ; Brester, Christina ; Koskela, Juha ; Ikaheimo, Jussi ; Koponen, Pekka. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:8:p:2054-:d:348037.

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2020Self-Learning Data-Based Models as Basis of a Universally Applicable Energy Management System. (2020). Buskens, Christof ; Weber, Markus ; Jung, Francesca ; Bergmann, Wiebke ; Maldonado, Jaime ; Lachmann, Malin. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:8:p:2084-:d:348569.

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2020A Novel Accurate and Fast Converging Deep Learning-Based Model for Electrical Energy Consumption Forecasting in a Smart Grid. (2020). Derhab, Abdelouahid ; Khan, Farrukh Aslam ; Ali, Mohammad Usman ; Shafiq, Zeeshan ; Wadud, Zahid ; Alimgeer, Khurram Saleem ; Hafeez, Ghulam. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:9:p:2244-:d:353681.

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2020Bayesian Optimized Echo State Network Applied to Short-Term Load Forecasting. (2020). Santos, Leandro Dos ; Mariani, Viviana Cocco ; Fraccanabbia, Naylene ; Sauer, Joo Guilherme ; Ribeiro, Gabriel Trierweiler. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:9:p:2390-:d:356418.

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2019.

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2020.

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2019Influent Forecasting for Wastewater Treatment Plants in North America. (2019). Snowling, Spencer ; Na, Dain ; Boyd, Gavin ; Zhou, Pengxiao ; Zhang, Qianqian. In: Sustainability. RePEc:gam:jsusta:v:11:y:2019:i:6:p:1764-:d:216611.

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2020Monthly Electric Load Forecasting Using Transfer Learning for Smart Cities. (2020). Hwang, Eenjun ; Jung, Seung-Won ; Park, Sungwoo. In: Sustainability. RePEc:gam:jsusta:v:12:y:2020:i:16:p:6364-:d:395837.

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2020Peak-Load Forecasting for Small Industries: A Machine Learning Approach. (2020). Sania, Naik Bakht ; Lee, Eun-Kyu ; Kim, Dong-Hoon. In: Sustainability. RePEc:gam:jsusta:v:12:y:2020:i:16:p:6539-:d:398335.

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2019A Brief History of Forecasting Competitions. (2019). Hyndman, Rob. In: Monash Econometrics and Business Statistics Working Papers. RePEc:msh:ebswps:2019-3.

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2019Time Evolution of Hurst Exponent: Czech Wholesale Electricity Market Study. (2019). Urpek, Juraj. In: European Financial and Accounting Journal. RePEc:prg:jnlefa:v:2019:y:2019:i:3:id:232:p:25-44.

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2019Long-term load forecasting: models based on MARS, ANN and LR methods. (2019). Weber, Gerhard Wilhelm ; Ozmen, Ayse ; Nalcaci, Gamze. In: Central European Journal of Operations Research. RePEc:spr:cejnor:v:27:y:2019:i:4:d:10.1007_s10100-018-0531-1.

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2020Multistep quantile forecasts for supply chain and logistics operations: bootstrapping, the GARCH model and quantile regression based approaches. (2020). Bruzda, Joanna. In: Central European Journal of Operations Research. RePEc:spr:cejnor:v:28:y:2020:i:1:d:10.1007_s10100-018-0591-2.

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2019Regularized Quantile Regression Averaging for probabilistic electricity price forecasting. (2019). Weron, Rafał ; Uniejewski, Bartosz. In: HSC Research Reports. RePEc:wuu:wpaper:hsc1904.

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Works by Tao Hong:


YearTitleTypeCited
2016Improving short term load forecast accuracy via combining sister forecasts In: Energy.
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article27
2015Improving short term load forecast accuracy via combining sister forecasts.(2015) In: HSC Research Reports.
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This paper has another version. Agregated cites: 27
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2014Global Energy Forecasting Competition 2012 In: International Journal of Forecasting.
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article45
2013Global Energy Forecasting Competition 2012.(2013) In: HSC Research Reports.
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This paper has another version. Agregated cites: 45
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2015Weather station selection for electric load forecasting In: International Journal of Forecasting.
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article10
2016GEFCom2014 probabilistic electric load forecasting: An integrated solution with forecast combination and residual simulation In: International Journal of Forecasting.
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article8
2016Electric load forecasting with recency effect: A big data approach In: International Journal of Forecasting.
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article18
2015Electric load forecasting with recency effect: A big data approach.(2015) In: HSC Research Reports.
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This paper has another version. Agregated cites: 18
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2016Probabilistic energy forecasting: Global Energy Forecasting Competition 2014 and beyond In: International Journal of Forecasting.
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article86
2016Probabilistic electric load forecasting: A tutorial review In: International Journal of Forecasting.
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article87
2018Benchmarking robustness of load forecasting models under data integrity attacks In: International Journal of Forecasting.
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article9
2014Energy Forecasting: Past, Present, and Future In: Foresight: The International Journal of Applied Forecasting.
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article25
2013Energy forecasting: Past, present and future.(2013) In: HSC Research Reports.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 25
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2017Wind Speed for Load Forecasting Models In: Sustainability.
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article3
2013Long term probabilistic load forecasting and normalization with hourly information In: HSC Research Reports.
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paper11
2013Fuzzy interaction regression for short term load forecasting In: HSC Research Reports.
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paper3
2014Probabilistic load forecasting via Quantile Regression Averaging of independent expert forecasts In: HSC Research Reports.
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201413 lucky tips to juggle the analytics of forecasting In: HSC Research Reports.
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2015Probabilistic load forecasting via Quantile Regression Averaging on sister forecasts In: HSC Research Reports.
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paper13
2015Sister models for load forecast combination In: HSC Research Reports.
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