Spatial–temporal short-term load forecasting framework via K-shape time series clustering method and graph convolutional networks-Reference-Cited by-同舟云学术

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Spatial–temporal short-term load forecasting framework via K-shape time series clustering method and graph convolutional networks

Published:2022-11 Issue: Volume:8 Page:8752-8766
ISSN:2352-4847
Container-title:Energy Reports
language:en
Short-container-title:Energy Reports

Author:

Wu Zeqing^ORCID,Mu Yunfei,Deng Shuai,Li Yang

Publisher

Elsevier BV

Subject

General Energy

Reference46 articles.

1. K -means based load estimation of domestic smart meter measurements;Al-Wakeel;Appl. Energy,2017

2. Support vector regression based electricity peak load forecasting;Azad,2018

3. An empirical evaluation of generic convolutional and recurrent networks for sequence modeling;Bai,2018

4. Load Forecasting for Scheduling Generation on a Large Interconnected System;Baker,1985

5. Deep Learning;Bengio,2017

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