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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-09-01
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| Series: | IET Energy Systems Integration |
| Online Access: | https://doi.org/10.1049/esi2.12028 |