A Hybrid Feature Pyramid CNN-LSTM Model with Seasonal Inflection Month Correction for Medium- and Long-Term Power Load Forecasting

A Hybrid Feature Pyramid CNN-LSTM Model with Seasonal Inflection Month Correction for Medium- and Long-Term Power Load Forecasting

Accurate medium- and long-term power load forecasting is of great significance for the scientific planning and safe operation of power systems. Monthly power load has multiscale time series correlation and seasonality. The existing models face the problems of insufficient feature extraction and a la...

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Bibliographic Details
Main Authors: Zizhen Cheng, Li Wang, Yumeng Yang
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Energies
Subjects:
causal dilated convolution
feature pyramid CNN-LSTM hybrid neural network
medium- and long-term load forecasting
Online Access:https://www.mdpi.com/1996-1073/16/7/3081

Internet

https://www.mdpi.com/1996-1073/16/7/3081

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