Load forecasting of hybrid deep learning model considering accumulated temperature effect
Considering the non-linear, multi-dimensionality and time-series of load data, a short-term power load forecasting method based on TCN-DNN hybrid deep learning model is proposed. Firstly, considering the common influencing factors of short-term load, and analysing the correlation, the temperature va...
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| Auteurs principaux: | , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Elsevier
2022
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/450c6fdd4d0f49dc91a33c709c42c59c |
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