A big data framework for short-term power load forecasting using heterogenous data

A big data framework for short-term power load forecasting using heterogenous data

The power system is in a transition towards a more intelligent, flexible and interactive system with higher penetration of renewable energy generation, load forecasting, especially short-term load forecasting for individual electric customers plays an increasingly essential role in future grid plann...

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Bibliographic Details
Main Authors:	Haibo ZHAO, Zhijun XIANG, Linsong XIAO
Format:	Article
Language:	zho
Published:	Beijing Xintong Media Co., Ltd 2022-12-01
Series:	Dianxin kexue
Subjects:	short-term load forecasting;long short-term memory network;recurrent neural network;clustering;big data
Online Access:	http://www.telecomsci.com/thesisDetails#10.11959/j.issn.1000-0801.2022292
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