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

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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Bibliographic Details
Main Authors: Marzia Ahmed, Mohd Herwan Sulaiman, Md. Maruf Hassan, Md. Atikur Rahaman, Mohammad Bin Amin
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Results in Control and Optimization
Subjects:
Variants of barnacle optimizer
Gooseneck barnacle optimizer
Energy consumption forecasting
Power distribution
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2666720725000049
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