AI-Enhanced Renewable Energy: Intelligent Systems for Sustainable Power Management

Abstract

This chapter explores the transformative impact of AI-enhanced renewable energy systems, focusing on how intelligent systems are revolutionizing the management of sustainable power. It delves into the core components of AI-driven energy systems, including advanced algorithms, smart grids, and optimized energy storage solutions. The chapter examines the application of AI in solar, wind, and hydropower systems, highlighting its role in predictive maintenance, real-time monitoring, and performance optimization. Additionally, it discusses AI's critical function in energy demand forecasting, load management, and the emerging field of energy trading. The chapter also addresses the technical challenges and economic opportunities associated with integrating AI into renewable energy systems, emphasizing the importance of innovation, cross-sector collaboration, and strategic planning for achieving global sustainability goals. Future trends in AI-enhanced renewable energy, such as advancements in AI algorithms, the integration of emerging technologies, and the development of autonomous energy management systems, are explored to provide a comprehensive understanding of the path towards a sustainable energy future. Keywords: AI-Enhanced Renewable Energy, Intelligent Systems, Sustainable Power Management, Predictive Maintenance, Energy Storage Optimization, Smart Grids, Energy Demand Forecasting, Load Management, Energy Trading, Renewable Energy Innovation, Autonomous Energy Systems, Quantum Computing in Energy, Internet of Things (IoT), Blockchain in Energy, Sustainable Energy Future.

Keywords

Identifiers

DOI

10.62311/nesx/905728

Journal

AI in Renewable Energy Management: Tools for Optimizing Sustainable Power Systems

Year

2024