September 15, 2026
Artificial Intelligence for Renewable Energy Systems
Artificial Intelligence for Renewable Energy Systems | 13.85 MB
Title: Artificial Intelligence for Renewable Energy Systems
Author: Mohapatra, Srikanta Kumar, Anand, Abhineet, Kapoor, Monit, Sardana, Anita, Kumar, Abhishek, Mohanty, Jayashree
Category: Power Resources, Artificial Intelligence, General Computing
Language: English | 571 str. Pages | ISBN: 9781040681787
Description:
The application of artificial intelligence (AI) to the management and development of renewable energy sources has revolutionized the energy sector by enhancing efficiency, reliability, and scalability. With the capability to analyze weather patterns, solar radiation, and wind speeds, AI-driven technologies help ensure optimal utilization of such resources as solar panels and wind turbines. Artificial Intelligence for Renewable Energy Systems focuses on using AI technology to advance green energy and its management. Starting with an overview of applying AI to renewable energy management, the book follows with such real-world examples: Predictive analytics for wind turbine maintenance Intelligent solar grid integration Vehicle-to-grid (V2G) technology for electric mobility Taking a multidisciplinary approach, the book is a guide for academics, energy practitioners, engineers, and policymakers who are leveraging the constructive collaboration between AI and renewable energy technologies.
The application of artificial intelligence (AI) to the management and development of renewable energy sources has revolutionized the energy sector by enhancing efficiency, reliability, and scalability. With the capability to analyze weather patterns, solar radiation, and wind speeds, AI-driven technologies help ensure optimal utilization of such resources as solar panels and wind turbines. Artificial Intelligence for Renewable Energy Systems focuses on using AI technology to advance green energy and its management. Starting with an overview of applying AI to renewable energy management, the book follows with such real-world examples: Predictive analytics for wind turbine maintenance Intelligent solar grid integration Vehicle-to-grid (V2G) technology for electric mobility Taking a multidisciplinary approach, the book is a guide for academics, energy practitioners, engineers, and policymakers who are leveraging the constructive collaboration between AI and renewable energy technologies.
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