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

• 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/43804/1/Daily%20allocation%20of%20energy%20consumption%20forecasting.pdf; http://umpir.ump.edu.my/id/eprint/43804/; https://doi.org/10.1016/j.rico.2025.100518; https://doi.org/10.1016/j.rico.2025.100518

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...