Correlated load forecasting in active distribution networks using Spatial‐Temporal Synchronous Graph Convolutional Networks

Correlated load forecasting in active distribution networks using Spatial‐Temporal Synchronous Graph Convolutional Networks

Abstract Load forecasting becomes increasingly challenging as power distribution networks evolve towards active distribution networks with high‐penetration renewables. In the context of active distribution networks, the load can be principally referred to as a mixture of power consumption devices as...

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Bibliographic Details
Main Authors:	Qun Yu, Zhiyi Li
Format:	Article
Language:	English
Published:	Wiley 2021-09-01
Series:	IET Energy Systems Integration
Subjects:	distribution networks graph theory load forecasting power engineering computing
Online Access:	https://doi.org/10.1049/esi2.12028

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