Artificial Intelligence and Machine Learning Applications for Sustainable Development
Sumit Sharma (Hrsg.), Subho Upadhyay (Hrsg.), Sandeep Kumar (Hrsg.), Nikita Gupta (Hrsg.), A. J. Singh (Hrsg.), Sanjay Kumar (Hrsg.)
Naturwissenschaften, Medizin, Informatik, Technik / Wärme-, Energie- und Kraftwerktechnik
Beschreibung
The book highlights how technologies including artificial intelligence and machine learning are transforming renewable energy technologies and enabling the development of new solutions. It further discusses how smart technologies are employed to optimize energy production and storage, enhance energy efficiency, and improve the overall sustainability of energy systems.This book: Discusses artificial intelligence-based techniques, namely, neural networks, fuzzy expert systems, optimization techniques, and operational research Showcases the importance of artificial intelligence and machine learning in the energy market, demand analysis, and forecasting of renewable energy applications Illustrates strategies for sustainable development using artificial intelligence and machine learning applications Presents applications of artificial intelligence in the domain of electronics transformation and development, smart cities, and renewable energy utilization Highlights the role of artificial intelligence in solving problems such as image and signal processing, smart weather monitoring, smart farming, and distributed energy sources It is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields, including electrical, electronics and communications, energy, and environmental engineering.
