Spatiotemporal Feature Learning Based Hour-Ahead Load Forecasting for Energy Internet

Spatiotemporal Feature Learning Based Hour-Ahead Load Forecasting for Energy Internet

In this paper, we analyze the characteristics of the load forecasting task in the Energy Internet context and the deficiencies of existing methods and then propose a data driven approach for one-hour-ahead load forecasting based on the deep learning paradigm. The proposed scheme involves three aspec...

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Bibliographic Details
Main Authors: Liufeng Du, Linghua Zhang, Xu Wang
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Electronics
Subjects:
load forecasting
energy internet
low rank decomposition
3d cnn
gru
Online Access:https://www.mdpi.com/2079-9292/9/1/196

Internet

https://www.mdpi.com/2079-9292/9/1/196

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