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Energy Load and Power Forecasting

TopicLeading institutions, researchers & key papers

Energy Load and Power Forecasting is a topic indexed in ScholarIQ from OpenAlex.

What is known about Energy Load and Power Forecasting?

ScholarIQrecord summary

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.

How many works does Energy Load and Power Forecasting have?

ScholarIQindexed works

Energy Load and Power Forecasting has 116 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

What is the OpenAlex record for Energy Load and Power Forecasting?

ScholarIQopenalex

The OpenAlex for Energy Load and Power Forecasting is on the source record.

What are the most-cited papers on Energy Load and Power Forecasting?

ScholarIQmost cited works
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
Energy Reports. 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
Renewable Energy. 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
Energy Reports. 2021202 CitationsOPEN ACCESS

Where is Energy Load and Power Forecasting research published, and who funds it?

ScholarIQvenues & funding sources

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%

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