Tao Hong : Citation Profile


Are you Tao Hong?

9

H index

9

i10 index

421

Citations

RESEARCH PRODUCTION:

10

Articles

10

Papers

RESEARCH ACTIVITY:

   5 years (2013 - 2018). See details.
   Cites by year: 84
   Journals where Tao Hong has often published
   Relations with other researchers
   Recent citing documents: 109.    Total self citations: 14 (3.22 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pho580
   Updated: 2021-11-28    RAS profile: 2018-02-15    
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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 Tao Hong.

Is cited by:

Weron, Rafał (54)

Marcjasz, Grzegorz (25)

Uniejewski, Bartosz (21)

Nowotarski, Jakub (21)

Hyndman, Rob (11)

Fukushige, Mototsugu (9)

Maciejowska, Katarzyna (6)

Trotter, Ian (5)

Féres, José (5)

Sigauke, Caston (4)

Serafin, Tomasz (4)

Cites to:

Weron, Rafał (27)

Hyndman, Rob (16)

Nowotarski, Jakub (12)

Trueck, Stefan (4)

Ben Taieb, Souhaib (4)

Engle, Robert (4)

Misiorek, Adam (4)

Granger, Clive (4)

Vahid, Farshid (4)

Wallis, Kenneth (3)

Kenny, Geoff (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 (2021 and 2020)


YearTitle of citing document
2021Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx. (2021). Weron, Rafał ; Marcjasz, Grzegorz ; Dubrawski, Artur ; Challu, Cristian ; Olivares, Kin G. In: WORking papers in Management Science (WORMS). RePEc:ahh:wpaper:worms2107.

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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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2021Deep Distributional Time Series Models and the Probabilistic Forecasting of Intraday Electricity Prices. (2020). Nott, David J ; Smith, Michael Stanley ; Klein, Nadja. In: Papers. RePEc:arx:papers:2010.01844.

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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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2020How to model European electricity load profiles using artificial neural networks. (2020). Praktiknjo, Aaron ; Nolting, Lars ; Behm, Christian. In: Applied Energy. RePEc:eee:appene:v:277:y:2020:i:c:s030626192031076x.

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2020Load probability density forecasting by transforming and combining quantile forecasts. (2020). Zhang, Shu ; Wang, Dan. In: Applied Energy. RePEc:eee:appene:v:277:y:2020:i:c:s0306261920311065.

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2020Performance of alternative electricity price forecasting methods: Findings from the Greek and Hungarian power exchanges. (2020). Verbič, Miroslav ; Zori, Jelena ; Haluan, Marko. In: Applied Energy. RePEc:eee:appene:v:277:y:2020:i:c:s0306261920311089.

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2020Adaptive mechanisms to refund emissions payments. (2020). Hill, David John ; Xenophon, Aleksis Kazubiernis. In: Applied Energy. RePEc:eee:appene:v:278:y:2020:i:c:s0306261920311806.

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2021Investments in data quality: Evaluating impacts of faulty data on asset management in power systems. (2021). Shayesteh, Ebrahim ; Westerlund, Per ; Hilber, Patrik ; Koziel, Sylvie. In: Applied Energy. RePEc:eee:appene:v:281:y:2021:i:c:s0306261920314896.

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2021Very short term load forecasting of residential electricity consumption using the Markov-chain mixture distribution (MCM) model. (2021). Widen, Joakim ; van der Meer, Dennis ; Munkhammar, Joakim. In: Applied Energy. RePEc:eee:appene:v:282:y:2021:i:pa:s0306261920315816.

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2021Residual electricity demand: An empirical investigation. (2021). Molnár, Peter ; Lyócsa, Štefan ; Molnar, Peter ; Lyocsa, Tefan ; Catherine, Linh Phuong. In: Applied Energy. RePEc:eee:appene:v:283:y:2021:i:c:s0306261920316846.

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2021An ensemble methodology for hierarchical probabilistic electric vehicle load forecasting at regular charging stations. (2021). Straka, Milan ; Refa, Nazir ; Proto, Daniela ; Khormali, Shahab ; Ferruzzi, Gabriella ; de Falco, Pasquale ; Buzna, Lubo ; van der Poel, Gijs. In: Applied Energy. RePEc:eee:appene:v:283:y:2021:i:c:s0306261920317207.

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2021Assessing the performance of deep learning models for multivariate probabilistic energy forecasting. (2021). Honkapuro, Samuli ; Kaarna, Arto ; Lensu, Lasse ; Kuronen, Toni ; Mashlakov, Aleksei. In: Applied Energy. RePEc:eee:appene:v:285:y:2021:i:c:s0306261920317748.

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2021A novel hybrid model based on Bernstein polynomial with mixture of Gaussians for wind power forecasting. (2021). Zhou, Xiaojun ; Wang, Cong ; Zhang, Hongli ; Dong, Yingchao. In: Applied Energy. RePEc:eee:appene:v:286:y:2021:i:c:s0306261921000921.

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2021Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark. (2021). Weron, Rafał ; de Schutter, Bart ; Marcjasz, Grzegorz ; Lago, Jesus. In: Applied Energy. RePEc:eee:appene:v:293:y:2021:i:c:s0306261921004529.

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2021An integrated smart home energy management model based on a pyramid taxonomy for residential houses with photovoltaic-battery systems. (2021). Luo, Xiaowei ; Pan, Jia ; Sun, Zhankun ; Zheng, Zhuang. In: Applied Energy. RePEc:eee:appene:v:298:y:2021:i:c:s0306261921005936.

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2021Impacts of heat decarbonization on system adequacy considering increased meteorological sensitivity. (2021). Taylor, Phil C ; Walker, Sara ; Sheehy, Sarah ; Greenwood, David ; Bloomfield, Hannah ; Deakin, Matthew. In: Applied Energy. RePEc:eee:appene:v:298:y:2021:i:c:s0306261921006802.

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2021Probabilistic forecasts of the distribution grid state using data-driven forecasts and probabilistic power flow. (2021). Faulwasser, Timm ; Waczowicz, Simon ; Dupmeier, Clemens ; Kuhnapfel, Uwe ; Akmak, Huseyin ; Liu, Jianlei ; Braun, Eric ; Muhlpfordt, Tillmann ; Appino, Riccardo Remo ; Gonzalez-Ordiano, Jorge Angel ; Hagenmeyer, Veit ; Mikut, Ralf. In: Applied Energy. RePEc:eee:appene:v:302:y:2021:i:c:s0306261921008837.

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2021Deep distribution regression. (2021). Reich, Brian J ; Li, Rui ; Bondell, Howard D. In: Computational Statistics & Data Analysis. RePEc:eee:csdana:v:159:y:2021:i:c:s0167947321000372.

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2021A kernel-free double well potential support vector machine with applications. (2021). Medhin, Negash ; Luo, Jian ; Fang, Shu-Cherng ; Gao, Zheming. In: European Journal of Operational Research. RePEc:eee:ejores:v:290:y:2021:i:1:p:248-262.

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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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2020Optimal control strategy of battery-integrated energy system considering load demand uncertainty. (2020). Karami, H ; Sanjari, M J. In: Energy. RePEc:eee:energy:v:210:y:2020:i:c:s0360544220316339.

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2021Predictability dynamics of multifactor-influenced installed capacity: A perspective of country clustering. (2021). Li, Jianping ; Hao, Jun ; Sun, Xiaolei ; Feng, Qianqian. In: Energy. RePEc:eee:energy:v:214:y:2021:i:c:s0360544220319381.

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2021A novel stacked generalization ensemble-based hybrid LGBM-XGB-MLP model for Short-Term Load Forecasting. (2021). Abu-Rub, Haitham ; Oueslati, Fakhreddine S ; Trabelsi, Mohamed ; Chihi, Ines ; Refaat, Shady S ; Massaoudi, Mohamed. In: Energy. RePEc:eee:energy:v:214:y:2021:i:c:s0360544220319812.

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2021Solar energy for sustainable heating and cooling energy system planning in arid climates. (2021). Shadi, Mehdi ; Khaledi, Arian ; Ansaripour, Shiva ; Golshanfard, Aminabbas ; Noorollahi, Younes. In: Energy. RePEc:eee:energy:v:218:y:2021:i:c:s0360544220325287.

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2021EALSTM-QR: Interval wind-power prediction model based on numerical weather prediction and deep learning. (2021). Li, Chaoshun ; Liu, Fangjie ; Duan, Shanxu ; Cai, Tao ; Zhang, Zuowei ; Xu, Qiyou ; Lang, Jianxun ; Wang, Hongyu ; Peng, Xiaosheng. In: Energy. RePEc:eee:energy:v:220:y:2021:i:c:s0360544220327997.

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2021Deep learning based forecasting of photovoltaic power generation by incorporating domain knowledge. (2021). Zhu, XU ; Zhang, Dongxiao ; Luo, Xing. In: Energy. RePEc:eee:energy:v:225:y:2021:i:c:s0360544221004898.

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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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2021Probabilistic access forecasting for improved offshore operations. (2021). McMillan, David ; Browell, Jethro ; Gilbert, Ciaran. In: International Journal of Forecasting. RePEc:eee:intfor:v:37:y:2021:i:1:p:134-150.

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2021Kaggle forecasting competitions: An overlooked learning opportunity. (2021). Meldgaard, Jens Peder ; Bojer, Casper Solheim. In: International Journal of Forecasting. RePEc:eee:intfor:v:37:y:2021:i:2:p:587-603.

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2021Conformal prediction interval estimation and applications to day-ahead and intraday power markets. (2021). Ziel, Florian ; Kath, Christopher. In: International Journal of Forecasting. RePEc:eee:intfor:v:37:y:2021:i:2:p:777-799.

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2021The flow-based market coupling domain - Why we cant get it right. (2021). Weber, Christoph ; Felling, Tim ; Osinski, Paul ; Felten, Bjorn. In: Utilities Policy. RePEc:eee:juipol:v:70:y:2021:i:c:s0957178720301302.

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2021An artificial neural network-based forecasting model of energy-related time series for electrical grid management. (2021). Luna, M ; la Tona, G ; di Piazza, M C. In: Mathematics and Computers in Simulation (MATCOM). RePEc:eee:matcom:v:184:y:2021:i:c:p:294-305.

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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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2021Intraday shelf replenishment decision support for perishable goods. (2021). Stuckenschmidt, Heiner ; Huber, Jakob. In: International Journal of Production Economics. RePEc:eee:proeco:v:231:y:2021:i:c:s0925527320301985.

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2021Forecasting of customer demands for production planning by local k-nearest neighbor models. (2021). Freitag, Michael ; Kuck, Mirko. In: International Journal of Production Economics. RePEc:eee:proeco:v:231:y:2021:i:c:s092552732030205x.

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

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2020Economic implications of forecasting electricity generation from variable renewable energy sources. (2020). Madlener, Reinhard ; Hennig, Patrick ; Ruhnau, Oliver. In: Renewable Energy. RePEc:eee:renene:v:161:y:2020:i:c:p:1318-1327.

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2021An overview of performance evaluation metrics for short-term statistical wind power forecasting. (2021). Pakrashi, V ; Gonzalez-Sopea, J M ; Ghosh, B. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:138:y:2021:i:c:s1364032120308005.

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2021Post-processing in solar forecasting: Ten overarching thinking tools. (2021). van der Meer, Dennis ; Yang, Dazhi. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:140:y:2021:i:c:s1364032121000307.

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2021A survey on deep learning methods for power load and renewable energy forecasting in smart microgrids. (2021). Ashraf, Nouman ; Javaid, Nadeem ; Mohsin, Syed Muhammad ; Herodotou, Herodotos ; Aslam, Sheraz. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:144:y:2021:i:c:s1364032121002847.

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2021Challenges and opportunities of inertia estimation and forecasting in low-inertia power systems. (2021). Teng, Fei ; Heylen, Evelyn ; Strbac, Goran. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:147:y:2021:i:c:s1364032121004652.

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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). Xiang, Lingyun ; Li, Feng ; Tong, Haixin ; Zhang, Dengyong ; Ding, Xiangling. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:18:p:4875-:d:415087.

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2020A Single Scalable LSTM Model for Short-Term Forecasting of Massive Electricity Time Series. (2020). Ruiz, Carlos ; Nogales, Francisco J ; Alonso, Andres M. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:20:p:5328-:d:427256.

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2020Short-Term Electricity Price Forecasting with Recurrent Regimes and Structural Breaks. (2020). Bello, Antonio ; Bunn, Derek W ; de Marcos, Rodrigo A ; Reneses, Javier. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:20:p:5452-:d:431117.

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2020Event Effects Estimation on Electricity Demand Forecasting. (2020). Hori, Maiya ; Wada, Keigo ; Hirose, Kei ; Taniguchi, Rin-Ichiro. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:21:p:5839-:d:442360.

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2020Point and Interval Forecasting of Zonal Electricity Prices and Demand Using Heteroscedastic Models: The IPEX Case. (2020). Lisi, Francesco ; Bernardi, Mauro. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:23:p:6191-:d:450862.

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2020Substation Related Forecasts of Electrical Energy Storage Systems: Transmission System Operator Requirements. (2020). Wolter, Martin ; Gronau, Jenny ; Naumann, Andre ; Gotze, Jens ; Richter, Andre ; Schroter, Tamara. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:23:p:6207-:d:451105.

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2020Equation Based New Methods for Residential Load Forecasting. (2020). Ali, Mohd Hasan ; Mahfuz, S M. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:23:p:6378-:d:455220.

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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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2020Use of Available Daylight to Improve Short-Term Load Forecasting Accuracy. (2020). Senabre, Carolina ; Sans, Carlos ; Valero, Sergio ; Lopez, Miguel. In: Energies. RePEc:gam:jeners:v:14:y:2020:i:1:p:95-:d:468767.

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2021Multi-Step Energy Demand and Generation Forecasting with Confidence Used for Specification-Free Aggregate Demand Optimization. (2021). Tzovaras, Dimitrios ; Ioannidis, Dimosthenis ; Kolokas, Nikolaos. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:11:p:3162-:d:564589.

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2021Data-Driven Energy Storage Scheduling to Minimise Peak Demand on Distribution Systems with PV Generation. (2021). Flynn, James ; Giannetti, Cinzia ; Borghini, Eugenio ; Todeschini, Grazia. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:12:p:3453-:d:572981.

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2021VIRTUS Project: A Scalable Aggregation Platform for the Intelligent Virtual Management of Distributed Energy Resources. (2021). Silvestro, Federico ; Mosaico, Gabriele ; Magnani, Sandro ; de Filippo, Allegra ; Bianchi, Stefano. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:12:p:3663-:d:578151.

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2021Short-Term Load Forecasting Using Convolutional Neural Networks in COVID-19 Context: The Romanian Case Study. (2021). Boicea, Valentin A ; Bulac, Constantin ; Sidea, Dorian O ; Picioroaga, Irina I ; Tudose, Andrei M. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:13:p:4046-:d:588708.

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2021Short-Term Net Load Forecasting with Singular Spectrum Analysis and LSTM Neural Networks. (2021). Zafiropoulos, Elias ; Vita, Vasiliki ; Bachoumis, Athanasios ; Stratigakos, Akylas. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:14:p:4107-:d:590250.

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2021Performance Evaluation of Forecasting Strategies for Electricity Consumption in Buildings. (2021). el Arroussi, Mohamed ; Fakhri, Youssef ; Bakhouya, Mohamed ; Najib, Mehdi ; Hadri, Sarah. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:18:p:5831-:d:636032.

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2021A WT-LUBE-PSO-CWC Wind Power Probabilistic Forecasting Model for Prediction Interval Construction and Seasonality Analysis. (2021). Georgilakis, Pavlos S ; Konstantinou, Theodoros ; Kousounadis-Knudsen, Markos A ; Bazionis, Ioannis K. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:18:p:5942-:d:638733.

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2021Comparative Analysis of Load Forecasting Models for Varying Time Horizons and Load Aggregation Levels. (2021). Madlener, Reinhard ; Gurses-Tran, Gonca ; Burg, Leonard ; Monti, Antonello. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:21:p:7128-:d:669709.

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2021Hybrid Forecast and Control Chain for Operation of Flexibility Assets in Micro-Grids. (2021). Fantino, Maurizio ; Macaluso, Piero ; Mirtaheri, Hamidreza ; Mazza, Andrea ; Papadopoulos, Panagiotis ; Tsakanikas, Sotiris ; Efstratiadi, Marily. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:21:p:7252-:d:671103.

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2021The Impact of the Selection of Exogenous Variables in the ANFIS Model on the Results of the Daily Load Forecast in the Power Company. (2021). Sowinski, Janusz. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:2:p:345-:d:477712.

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2021Sizing and Cost Minimization of Standalone Hybrid WT/PV/Biomass/Pump-Hydro Storage-Based Energy Systems. (2021). Awwad, Emad Mahrous ; Alturki, Fahd A. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:2:p:489-:d:482341.

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2021A Review of Deep Learning Techniques for Forecasting Energy Use in Buildings. (2021). Zmeureanu, Radu ; Runge, Jason. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:3:p:608-:d:486810.

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2021Predicting Energy Demand in Semi-Remote Arctic Locations. (2021). Chiesa, Matteo ; Chiou, Yu-Cheng ; Hansen, Morten ; Apostoleris, Harry ; Bianchi, Filippo Maria ; Eikeland, Odin Foldvik. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:4:p:798-:d:492481.

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2021A Systematic Review on Predicting and Forecasting the Electrical Energy Consumption in the Manufacturing Industry. (2021). Weigold, Matthias ; Walther, Jessica. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:4:p:968-:d:498275.

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2021Uncertainty Matters: Bayesian Probabilistic Forecasting for Residential Smart Meter Prediction, Segmentation, and Behavioral Measurement and Verification. (2021). Miller, Clayton ; Jain, Rishee K ; Chadalawada, Jayashree ; Roth, Jonathan. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:5:p:1481-:d:513031.

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2021A Cross-Country Model for End-Use Specific Aggregated Household Load Profiles. (2021). Schlemminger, Marlon ; Brendel, Rolf ; Niepelt, Raphael. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:8:p:2167-:d:535322.

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2021A Review of Electric Vehicle Load Open Data and Models. (2021). Amara-Ouali, Yvenn ; Yan, Hui ; Poggi, Jean-Michel ; Massart, Pascal ; Goude, Yannig. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:8:p:2233-:d:537508.

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2021A Model Predictive Control for the Dynamical Forecast of Operating Reserves in Frequency Regulation Services. (2021). Partaourides, Harris ; Nikolaidis, Pavlos. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:1:p:14-241:d:519135.

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2021Electrical Load Forecast by Means of LSTM: The Impact of Data Quality. (2021). Paccanelli, Franco ; Vigani, Sonia ; Gavazzeni, Michele ; Pretto, Silvia ; Ogliari, Emanuele ; Nespoli, Alfredo. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:1:p:6-101:d:495915.

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2021Different Forecasting Horizons Based Performance Analysis of Electricity Load Forecasting Using Multilayer Perceptron Neural Network. (2021). Louzazni, Mohamed ; Madhiarasan, Manogaran. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:4:p:49-838:d:670881.

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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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More than 100 citations found, this list is not complete...

Works by Tao Hong:


YearTitleTypeCited
2016Improving short term load forecast accuracy via combining sister forecasts In: Energy.
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article29
2015Improving short term load forecast accuracy via combining sister forecasts.(2015) In: HSC Research Reports.
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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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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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article9
2016Electric load forecasting with recency effect: A big data approach In: International Journal of Forecasting.
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article22
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: 22
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2016Probabilistic energy forecasting: Global Energy Forecasting Competition 2014 and beyond In: International Journal of Forecasting.
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article108
2016Probabilistic electric load forecasting: A tutorial review In: International Journal of Forecasting.
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article130
2018Benchmarking robustness of load forecasting models under data integrity attacks In: International Journal of Forecasting.
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article13
2014Energy Forecasting: Past, Present, and Future In: Foresight: The International Journal of Applied Forecasting.
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article26
2013Energy forecasting: Past, present and future.(2013) In: HSC Research Reports.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 26
paper
2017Wind Speed for Load Forecasting Models In: Sustainability.
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article4
2013Long term probabilistic load forecasting and normalization with hourly information In: HSC Research Reports.
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paper7
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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paper2
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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