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

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

Load forecasting, especially short-term load forecasting, is of great significance to the safe operation of power grids and power system optimization. Historical data is commonly applied in the most of existing methods of load forecasting to predict the future data in one time step, which is conside...

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Bibliographic Details
Main Authors: Zeqing Wu, Yunfei Mu, Shuai Deng, Yang Li
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Energy Reports
Subjects:
Electric load forecasting
Spatial–temporal
Time series clustering
Graph convolutional networks
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484722012628

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http://www.sciencedirect.com/science/article/pii/S2352484722012628

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