Machine Learning for Sustainable Power Systems: AIoT-Optimized Smart-Grid Inverter Systems with Solar Photovoltaics
This research investigates the transformative role of Machine Learning (ML) in optimizing
smart-grid inverter systems, specifically emphasizing solar photovoltaics. A comprehensive …
smart-grid inverter systems, specifically emphasizing solar photovoltaics. A comprehensive …
Data-Driven Methods for Distribution Modeling and Sensing
MS Marković - 2023 - search.proquest.com
The electric power industry has set critical renewable energy targets to promote low-
emission growth in power supply. However, the integration of variable and uncertain …
emission growth in power supply. However, the integration of variable and uncertain …
Machine Learning-Driven Three-Phase Current Relay Protection System for Small Transient Periods in Sustainable Power Systems
This study focuses on improving the effectiveness of three-phase current relay protection
systems, which is a significant problem. It is achieved through the use of machine learning …
systems, which is a significant problem. It is achieved through the use of machine learning …
Check for updates Integrating AIoT for Enhanced Monitoring and Optimization of Transmission Lines Earthing System
SR Ahmed¹, AST Hussain, M Fadhil… - … and Sustainability in … - books.google.com
This study investigates the integration of Artificial Intelligence of Things (AIoT) in
transmission line earthing systems for enhanced monitoring and optimization. Leveraging …
transmission line earthing systems for enhanced monitoring and optimization. Leveraging …