Load forecasting of hybrid deep learning model considering accumulated temperature effect

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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Autores principales: Haihong Bian, Qian Wang, Guozheng Xu, Xiu Zhao
Formato: article
Lenguaje:EN
Publicado: Elsevier 2022
Materias:
Short-term load forecasting
Temperature correction
Temporal Convolutional Network
Deep Neural Network
TCN-DNN
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Acceso en línea:https://doaj.org/article/450c6fdd4d0f49dc91a33c709c42c59c
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https://doaj.org/article/450c6fdd4d0f49dc91a33c709c42c59c

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