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/zh/article/doi/10.11959/j.issn.1000-0801.2022292/
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