Leaderboards/Energy Load and Power Forecasting

Energy Load and Power Forecasting

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Haoyi Zhou
Peking University
2
Bingzi Jin
Advanced Micro Devices (Canada)
3
Ali Agga
Mohammed V University
4
Akshit Kurani
Indus University
5
Seyed Matin Malakouti
University of Tabriz
6
Imane Jebli
Mohammed V University
7
Razak Olu-Ajayi
University of Hertfordshire
8
Shafiul Hasan Rafi
Dhaka University of Engineering & Technology
9
Cristian Challú
Carnegie Mellon University
10
Zulfiqar Ahmad Khan
Umeå University

Rising Stars Papers

1
Forecasting wholesale prices of yellow corn through the Gaussian process regression
Neural Computing and Applications|2024
268 cit.
2
Price forecasting through neural networks for crude oil, heating oil, and natural gas
Measurement Energy|2024
237 cit.
3
Wholesale price forecasts of green grams using the neural network
Asian Journal of Economics and Banking|2024
236 cit.
4
Carbon emission allowance price forecasting for China Guangdong carbon emission exchange via the neural network
Global Finance Review|2024
204 cit.
5
Thermal coal futures trading volume predictions through the neural network
Journal of Modelling in Management|2024
204 cit.
6
Forecasts of coking coal futures price indices through Gaussian process regressions
Mineral Economics|2024
201 cit.
7
Peanut oil price change forecasts through the neural network
foresight|2025
195 cit.
8
Pre-owned housing price index forecasts using Gaussian process regressions
Journal of Modelling in Management|2024
171 cit.
9
Forecasts of China Mainland New Energy Index Prices through Gaussian Process Regressions
Journal of Clean Energy and Energy Storage|2024
168 cit.
10
Regional steel price index predictions for North China through machine learning
International Journal of Mining and Mineral Engineering|2024
167 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Wancai Zhang
Institute of Acoustics
2
Yuan Zhang
Beijing Municipal Ecological and Environmental Monitoring Center
3
Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬
King Fahd University of Petroleum and Minerals
4
Wendong Yang
Nanjing University of Aeronautics and Astronautics
5
Florian Ziel
University of Duisburg-Essen
6
Aneela Zameer
Pakistan Institute of Engineering and Applied Sciences
7
Stefan Pfenninger
Delft University of Technology
8
Tong Niu
Tianjin University
9
Muhammad Shahzad Nazir
Huaiyin Institute of Technology
10
Muhammad Muneeb
Baker Heart and Diabetes Institute

Emerging Leaders Papers

1
Forecasting: theory and practice
BOA (University of Milano-Bicocca)|2022
830 cit.
2
A dual-scale deep learning model based on ELM-BiLSTM and improved reptile search algorithm for wind power prediction
Energy|2022
238 cit.
3
Diversity of options to eliminate fossil fuels and reach carbon neutrality across the entire European energy system
Joule|2022
206 cit.
4
Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research directions
Engineering Applications of Artificial Intelligence|2023
135 cit.
5
A novel integrated photovoltaic power forecasting model based on variational mode decomposition and CNN-BiGRU considering meteorological variables
Electric Power Systems Research|2022
122 cit.
6
Wind speed prediction by a swarm intelligence based deep learning model via signal decomposition and parameter optimization using improved chimp optimization algorithm
Energy|2023
109 cit.
7
A pH-Sensitive Surface of Chitosan/Sepiolite Clay/Algae Biocomposite for the Removal of Malachite Green and Remazol Brilliant Blue R Dyes: Optimization and Adsorption Mechanism Study
Journal of Polymers and the Environment|2022
108 cit.
8
Deep learning versus gradient boosting machine for pan evaporation prediction
Engineering Applications of Computational Fluid Mechanics|2022
102 cit.
9
Improving the performance of perovskite solar cells with carbon nanotubes as a hole transport layer
Optical Materials|2023
102 cit.
10
Evaluation of NASA POWER and ERA5-Land for estimating tropical precipitation and temperature extremes
Journal of Hydrology|2023
97 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
João P. S. Catalào
Universidade do Porto
2
Jianzhou Wang
Hohai University
3
Antonio J. Conejo
The Ohio State University
4
Jianzhou Wang
Dongbei University of Finance and Economics
5
Michael Y. Hu
Kent State University
6
Chongqing Kang
Tsinghua Sichuan Energy Internet Research Institute
7
Wei‐Chiang Hong
Harbin Engineering University
8
Kwok‐wing Chau
Japan Real Estate Institute
9
Carlos F.M. Coimbra
University of California San Diego
10
Jing Shi
Shanghai Open University

Current Senior Leaders Papers

1
Forecasting with artificial neural networks:
International Journal of Forecasting|1998
4.2k cit.
2
ARIMA models to predict next-day electricity prices
IEEE Transactions on Power Systems|2003
1.5k cit.
3
Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges
IEEE Transactions on Smart Grid|2018
1.3k cit.
4
Solar forecasting methods for renewable energy integration
Progress in Energy and Combustion Science|2013
1k cit.
5
Day-Ahead Electricity Price Forecasting Using the Wavelet Transform and ARIMA Models
IEEE Transactions on Power Systems|2005
975 cit.
6
Real-Time Demand Response Model
IEEE Transactions on Smart Grid|2010
962 cit.
7
ARIMA Models to Predict Next-Day Electricity Prices
IEEE Power Engineering Review|2002
941 cit.
8
ARMA based approaches for forecasting the tuple of wind speed and direction
Applied Energy|2010
906 cit.
9
On comparing three artificial neural networks for wind speed forecasting
Applied Energy|2010
705 cit.
10
An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction
Journal of Hydrology|2018
694 cit.

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