Load Forecasting Based on Multiple Load Features and TCN-GRU Neural Network
Traditional load forecasting does not deeply consider the impact of load sequence on model forecasting accuracy. To improve the prediction accuracy, a multi-load feature combination (MLFC) is proposed, and a load prediction framework is constructed by combining Temporal Convolutional Network (TCN) a...
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| Principais autores: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Chinês |
| Publicado em: |
State Grid Energy Research Institute
2022-11-01
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| Colecção: | Zhongguo dianli |
| Assuntos: | |
| Acesso em linha: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202012107 |
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