Probability prediction of short-term user-level load based on random forest and kernel density estimation

Probability prediction of short-term user-level load based on random forest and kernel density estimation

With the development of smart grids and the popularization of smart meters, grid companies have obtained a large amount of fine-grained user electricity consumption data, making it possible to forecast individual users’ electricity load. Traditional deterministic forecasting cannot measure the uncer...

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Bibliographic Details
Main Authors: Lu Zhang, Siyue Lu, Yifeng Ding, Dapeng Duan, Yansong Wang, Peiyi Wang, Lei Yang, Haohao Fan, Yongqiang Cheng
Format: Article
Language:English
Published: Elsevier 2022-08-01
Series:Energy Reports
Subjects:
Short-term load forecasting
Probabilistic forecasting
Random forest
Tree
Kernel density estimation
Probabilistic prediction interval
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484722005030

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http://www.sciencedirect.com/science/article/pii/S2352484722005030

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