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Performance Optimization of Hybrid Renewable Energy Systems With Real-Time Load Forecasting Using Grey Wolf-Based Predictive Models by International Journal of Power Electronics and Drive Systems is a document available to read on EtoBox.
What is Performance Optimization of Hybrid Renewable Energy Systems With Real-Time Load Forecasting Using Grey Wolf-Based Predictive Models about?
This study presents a novel approach to optimize hybrid renewable energy systems (HRES) by integrating real-time load forecasting with grey wolf optimization (GWO) models. The methodology aims to enhance efficiency and sustainability by accurately predicting energy demands and solar irradiance, thereby optimizing energy storage and generation components. The proposed framework not only reduces operational costs and carbon emissions but also improves the reliability and adaptability of energy management in m
- Author
- International Journal of Power Electronics and Drive Systems
- Language
- EN