Energy Systems refer to the interconnected components and processes involved in generating, transmitting, distributing, and consuming energy. AI in Energy Systems leverages advanced algorithms, data analysis, and automation to optimize renewable energy generation, grid integration, demand management, and overall system efficiency for a sustainable and reliable energy future.
Published in Chapter:
Empowering Sustainability: The Role of Artificial Intelligence in Renewable Energy
Prerna Tundwal (College of Technology and Engineering, Udaipur, India)
Copyright: © 2023
|Pages: 34
DOI: 10.4018/978-1-6684-9601-5.ch008
Abstract
This chapter explores the significant role that artificial intelligence (AI) plays in advancing renewable energy technologies and promoting sustainability. It discusses how AI can address the challenges and complexities associated with renewable energy systems, improve their efficiency, and enable their seamless integration into existing power grids. The chapter also explores various AI applications in renewable energy generation, forecasting, grid optimization, energy management, and demand response. Additionally, it highlights the potential benefits of AI-driven solutions in accelerating the global transition to a sustainable energy future.