Cloud Computing and Machine Learning in the Green Power Sector

Abstract

The green power sector is revolutionizing energy production, grid management, and sustainability by integrating cloud computing and machine learning techniques. This chapter explores data handling processes, including data sources, collection methods, preprocessing, and cloud computing. It discusses machine learning algorithms for predictive modeling and real-time monitoring. Key benefits, challenges, and considerations are discussed, along with case studies of successful cloud adoption in green power projects. The chapter also emphasizes data governance, security, integration techniques, and warehousing solutions for handling growing data requirements. The sector offers efficiency, reliability, and environmental responsibility, but faces challenges like data privacy, scalability, and regulatory compliance.