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...

Full description

Saved in:
Bibliographic Details
Main Authors: Haihong Bian, Qian Wang, Guozheng Xu, Xiu Zhao
Format: article
Language:EN
Published: Elsevier 2022
Subjects:
Short-term load forecasting
Temperature correction
Temporal Convolutional Network
Deep Neural Network
TCN-DNN
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Online Access:https://doaj.org/article/450c6fdd4d0f49dc91a33c709c42c59c
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doaj.org/article/450c6fdd4d0f49dc91a33c709c42c59c

Similar Items