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: Ahmed, Marzia, Mohd Herwan, Sulaiman, Hassan, Md Maruf, Rahaman, Md Atikur, Mohammad, Amin
Format: Article
Language:English
Published: Elsevier B.V. 2025
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/43804/
http://umpir.ump.edu.my/id/eprint/43804/1/Daily%20allocation%20of%20energy%20consumption%20forecasting.pdf

Internet

http://umpir.ump.edu.my/id/eprint/43804/
http://umpir.ump.edu.my/id/eprint/43804/1/Daily%20allocation%20of%20energy%20consumption%20forecasting.pdf

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