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Stability Prediction in Smart Grid Using PSO Optimized XGBoost Algorithm with Dynamic Inertia Weight Updation

Adel Binbusayyis Mohemmed Sha

Computer Modeling in Engineering & Sciences2025，Vol.142Issue(1)：P.909-931,23.

Computer Modeling in Engineering & Sciences2025，Vol.142Issue(1)：P.909-931,23.DOI:10.32604/cmes.2024.058202

Stability Prediction in Smart Grid Using PSO Optimized XGBoost Algorithm with Dynamic Inertia Weight Updation

Adel Binbusayyis ¹Mohemmed Sha¹

作者信息

1. Department of Software Engineering College of Computer Engineering and Sciences in Al-Kharj,Prince Sattam Bin Abdulaziz University,Al-Kharj,11942,Saudi Arabia
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摘要

关键词

Smart Grid/machine learning/particle swarm optimization/XGBoost/dynamic inertia weight update

分类

信息技术与安全科学

引用本文复制引用

Adel Binbusayyis,Mohemmed Sha..Stability Prediction in Smart Grid Using PSO Optimized XGBoost Algorithm with Dynamic Inertia Weight Updation[J].Computer Modeling in Engineering & Sciences,2025,142(1):P.909-931,23.

基金项目

Prince Sattam bin Abdulaziz University project number(PSAU/2023/R/1445)。（PSAU/2023/R/1445）

Computer Modeling in Engineering & Sciences

ISSN：1526-1492

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