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What is Grid Optimization

Chapter 8
Crafting a Sustainable Future Through Education and Sustainable Development
Grid Optimization in the role of AI in Renewable Energy (RE) involves using AI algorithms and techniques to improve the efficiency, reliability, and stability of the electrical power grid. AI-driven grid optimization enables intelligent energy management, optimal grid operation, and effective integration of renewable energy sources for a sustainable and resilient grid infrastructure.
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.
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