Multi-convolution feature extraction and recurrent neural network dependent model for short-term load forecasting

Multi-convolution feature extraction and recurrent neural network dependent model for short-term load forecasting

Load forecasting is critical for power system operation and market planning.With the increased penetration of renewable energy and the massive consumption of electric energy, improving load forecasting accuracy has become a dif�cult task. Recently, it was demonstrated that deep learning models perfo...

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Bibliographic Details
Main Authors: Goh, Hui Hwang, He, Biliang, Hui Liu, Hui Liu, Zhang, Dongdong, Wei Dai, Wei Dai, Kurniawan, Tonni Agustiono, Goh, Kai Chen
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers 2021
Subjects:
TK452-454.4 Electric apparatus and materials. Electric circuits. Electric networks
Online Access:http://eprints.uthm.edu.my/6263/
http://eprints.uthm.edu.my/6263/1/J13190_7ec3c064e09d1a741eeb13c13aa40aaf.pdf

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