Daily allocation of energy consumption forecasting of a power distribution company using optimized least squares support vector machine

Accurate energy consumption forecasting is critical for efficient power distribution management. This study presents a novel approach for optimal allocation forecasting of energy consumption in a power distribution company, utilizing the Least Squares Support Vector Machine (LSSVM) optimized by nove...

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發表在:	Results in Control and Optimization
Main Authors:	Marzia Ahmed, Mohd Herwan Sulaiman, Md. Maruf Hassan, Md. Atikur Rahaman, Mohammad Bin Amin
格式:	Article
語言:	英语
出版:	Elsevier 2025-03-01
主題:	Variants of barnacle optimizer Gooseneck barnacle optimizer Energy consumption forecasting Power distribution Machine learning
在線閱讀:	http://www.sciencedirect.com/science/article/pii/S2666720725000049