Probabilistic Forecasting of Short-Term Electric Load Demand: An Integration Scheme Based on Correlation Analysis and Improved Weighted Extreme Learning Machine

Probabilistic Forecasting of Short-Term Electric Load Demand: An Integration Scheme Based on Correlation Analysis and Improved Weighted Extreme Learning Machine

Precise prediction of short-term electric load demand is the key for developing power market strategies. Due to the dynamic environment of short-term load forecasting, probabilistic forecasting has become the center of attention for its ability of representing uncertainty. In this paper, an integrat...

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Bibliographic Details
Main Authors: Zhengmin Kong, Zhou Xia, Yande Cui, He Lv
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Applied Sciences
Subjects:
probabilistic forecasting
integration scheme
correlation analysis
improved weighted extreme learning machine
switch algorithm
gaussian process
Online Access:https://www.mdpi.com/2076-3417/9/20/4215

Internet

https://www.mdpi.com/2076-3417/9/20/4215

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