Hybrid LSTM–BPNN-to-BPNN Model Considering Multi-Source Information for Forecasting Medium- and Long-Term Electricity Peak Load

Hybrid LSTM–BPNN-to-BPNN Model Considering Multi-Source Information for Forecasting Medium- and Long-Term Electricity Peak Load

Accurate medium- and long-term electricity peak load forecasting is critical for power system operation, planning, and electricity trading. However, peak load forecasting is challenging because of the complex and nonlinear relationship between peak load and related factors. Here, we propose a hybrid...

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Bibliographic Details
Main Authors: Bingjie Jin, Guihua Zeng, Zhilin Lu, Hongqiao Peng, Shuxin Luo, Xinhe Yang, Haojun Zhu, Mingbo Liu
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Energies
Subjects:
medium- and long-term peak load forecasting
multi-source information
long short-term memory (LSTM)
back propagation neural network (BPNN)
Online Access:https://www.mdpi.com/1996-1073/15/20/7584

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https://www.mdpi.com/1996-1073/15/20/7584

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