Deep Ensemble Learning Model for Short-Term Load Forecasting within Active Learning Framework

Deep Ensemble Learning Model for Short-Term Load Forecasting within Active Learning Framework

Short term load forecasting (STLF) is one of the basic techniques for economic operation of the power grid. Electrical load consumption can be affected by both internal and external factors so that it is hard to forecast accurately due to the random influencing factors such as weather. Besides compl...

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Bibliographic Details
Main Authors: Zengping Wang, Bing Zhao, Haibo Guo, Lingling Tang, Yuexing Peng
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Energies
Subjects:
short-term load forecasting
long short-term memory
active learning
deep ensemble learning
Online Access:https://www.mdpi.com/1996-1073/12/20/3809

Internet

https://www.mdpi.com/1996-1073/12/20/3809

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