Short-Term Electrical Load Forecasting Using an Enhanced Extreme Learning Machine Based on the Improved Dwarf Mongoose Optimization Algorithm

Accurate short-term electrical load forecasting is crucial for the stable operation of power systems. Given the nonlinear, periodic, and rapidly changing characteristics of short-term power load forecasts, this paper introduces a novel forecasting method employing an Extreme Learning Machine (ELM) e...

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Bibliographic Details
Published in:Symmetry (Basel) Vol. 16; no. 5; p. 628
Main Authors: Wang, Haocheng, Zhang, Yu, Mu, Lixin
Format: Journal Article
Language:English
Published: Basel MDPI AG 01.05.2024
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ISSN:2073-8994, 2073-8994
Online Access:Get full text
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