AI and data-driven technologies in renewable energy systems for environmental sustainability
Abstract
Green technologies and renewable energy systems (RES) are important developments in power generation that support a pollution-free environment in the ongoing quest for sustainable energy solutions. Conventional RES frameworks require technological advancements despite being widely used over the past 15–20 years. The deployment of state-of-the-art technologies in the RES domain is thoroughly examined in this study. We examine how artificial intelligence (AI), natural language processing (NLP), the Internet of Things (IoT), cloud computing, big data, and blockchain might be incorporated into renewable energy infrastructures like solar and wind systems. An assessment that provides insights into the various goals of RES and the efficiency of contemporary technological advancements in accomplishing these goals rounds out this study.
Fields of Study & Subjects
Hybrid Renewable Energy Systems
Integrated Energy Systems Optimization
Social Acceptance of Renewable Energy
Publication details
- Journal / source
- Data-Driven Environmental Intelligence
- Publisher
- CRC Press
- Pages
- 272–303
- Publication date
- 2 February 2026
- Language
- EN
- Document type
- Book chapter