Short-Term Power Load Forecasting Using Adaptive Mode Decomposition and Improved Least Squares Support Vector Machine

Short-Term Power Load Forecasting Using Adaptive Mode Decomposition and Improved Least Squares Support Vector Machine

Accurate power load forecasting is crucial for ensuring grid stability, optimizing economic dispatch, and facilitating renewable energy integration in modern smart grids. However, real load forecasting is often disturbed by the inherent non-stationarity and multi-factor coupling effects. To address...

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Bibliographic Details
Main Authors: Wenjie Guo, Jie Liu, Jun Ma, Zheng Lan
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Energies
Subjects:
short-term power load forecasting
signal decomposition
least squares support vector machine
parameter optimization
renewable energy
Online Access:https://www.mdpi.com/1996-1073/18/10/2491
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