Research on Short-Term Load Forecasting of LSTM Regional Power Grid Based on Multi-Source Parameter Coupling

Research on Short-Term Load Forecasting of LSTM Regional Power Grid Based on Multi-Source Parameter Coupling

Regional power grid load has strong periodicity and randomness, and its load characteristics are affected by many factors. Traditional short-term power load-forecasting methods have certain limitations in accuracy and stability, especially when dealing with complex weather and voltage changes. To im...

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Bibliographic Details
Main Authors: Bo Li, Yaohua Liao, Siyang Liu, Chao Liu, Zhensheng Wu
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Energies
Subjects:
short-term power load forecasting
multi-source parameter coupling
long short-term memory neural network
independent thermal coding technology
inertia weight
Online Access:https://www.mdpi.com/1996-1073/18/3/516
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