A Triple-Optimized Extreme Learning Machine Model for Power Load Forecasting
Electricity load forecasting constitutes a pivotal task in achieving an equilibrium between supply and demand within the power system, facilitating effective power grid dispatching, and ensuring the safe and stable operation of the grid. The ELM model, characterized by its high efficiency and expedi...
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Main Authors: | Haoxiang Gao, Weixin Kang, Miao Fan |
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Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
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Series: | IEEE Open Access Journal of Power and Energy |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/11071898/ |
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