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Energy Load and Power Forecasting
TopicLeading institutions, researchers & key papers
This cluster of papers focuses on the methods and techniques for forecasting electricity prices and load demand, with an emphasis on short-term forecasting using neural networks, ARIMA models, and probabilistic approaches. The cluster also covers topics related to wind power generation, deep learning applications, and renewable energy forecasting.
116
Works
IDs:OpenAlex
How has Energy Load and Power Forecasting's publication output changed over time?
ScholarIQpublication output · 2013–2025
Output grew0% over the shown period — from 1 works in 2013 to 1 in 2025.
1
2
2
2
2
4
1
1
20132017201920202021202220232025
What are the most-cited papers on Energy Load and Power Forecasting?
ScholarIQmost cited works
Short-term photovoltaic solar power forecasting using a hybrid Wavelet-PSO-SVM model based on SCADA and Meteorological information
Abinet Tesfaye Eseye, Jianhua Zhang, Dehua Zheng
S815301. 2017445 Citations
Physical energy and data-driven models in building energy prediction: A review
Yongbao Chen, Mingyue Guo, Zhisen Chen, Zhisen Chen, Zhe Chen, Zhe Chen, Ying Ji
S2898434319. 2022377 CitationsOPEN ACCESS
Hourly forecasting of solar irradiance based on CEEMDAN and multi-strategy CNN-LSTM neural networks
Bixuan Gao, Xiaoqiao Huang, Junsheng Shi, Yonghang Tai, Jun Zhang
S815301. 2020369 CitationsOPEN ACCESS
Time series forecasting for hourly photovoltaic power using conditional generative adversarial network and Bi-LSTM
Xiaoqiao Huang, Qiong Li, Yonghang Tai, Zaiqing Chen, Jun Liu, Junsheng Shi, Wu-Ming Liu
Energy. 2022232 Citations
Prediction of home energy consumption based on gradient boosting regression tree
Peng Nie, Michèle Roccotelli, Maria Pia Fanti, Zhengfeng Ming, Zhiwu Li
S2898434319. 2021202 CitationsOPEN ACCESS
Where is Energy Load and Power Forecasting research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock
How much of the research on Energy Load and Power Forecasting is open access?
ScholarIQopen access share
40%OPEN ACCESS
Gold
33%
Green
7%
Hybrid
0%
Bronze
0%
Closed
60%
Related on ScholarIQ
Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques
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Short-term photovoltaic solar power forecasting using a hybrid Wavelet-PSO-SVM model based on SCADA and Meteorological information
Paper
A Distributionally Robust Optimization Model for Unit Commitment Considering Uncertain Wind Power Generation
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Physical energy and data-driven models in building energy prediction: A review
Paper
Hourly forecasting of solar irradiance based on CEEMDAN and multi-strategy CNN-LSTM neural networks
Paper
Fundamentals and business model for resource aggregator of demand response in electricity markets
Paper