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

Prediction of stability in SG (Smart Grid) is essential in maintaining consistency and reliability of power supply in grid infrastructure. Analyzing the fluctuations in power generation and consumption patterns of smart citie... | Find, read and cite all the research you need on Tech Science Press

Authors

Publication Details

Journal
Computer Modeling in Engineering & Sciences
Published
2024-12-12
DOI
https://doi.org/10.32604/cmes.2024.058202
Citations
9
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
1.88

Funders

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article

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

Adel Binbusayyis, Mohemmed Sha
9 citations
Computer Modeling in Engineering & Sciences
Smart Grid Energy Management
1.88
article

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

Adel Binbusayyis, Mohemmed Sha
article en
9 citations

Abstract

Prediction of stability in SG (Smart Grid) is essential in maintaining consistency and reliability of power supply in grid infrastructure. Analyzing the fluctuations in power generation and consumption patterns of smart citie... | Find, read and cite all the research you need on Tech Science Press

Computer Modeling in Engineering & SciencesVol. 142(1)
Prince Sattam bin Abdulaziz University
Affordable and clean energy
Openalex Percentile: Top 14%
Smart Grid Energy Management
1.88
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