A Deep Learning Method for Short-Term Residential Load Forecasting in Smart Grid

Residential demand response is vital for the efficiency of power system. It has attracted much attention from both academic and industry in recent years. Accurate short-term load forecasting is a fundamental task for demand response. While short-term forecasting for aggregated load data has been ext...

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Bibliographic Details
Main Authors: Ye Hong, Yingjie Zhou, Qibin Li, Wenzheng Xu, Xiujuan Zheng
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9040610/