Sustaining Intelligent Societies Through Renewable Energy Sources for AI Development - Rilegato

Rilegato

ISBN 13: 9798337375496

Casa editrice: Igi Global Scientific Publishing, 2026

Riassunto

Artificial intelligence (AI) has emerged as one of the most transformative technologies of the 21st century, reshaping industries, economies, and the way societies address complex global challenges. Among its most promising applications is its ability to accelerate the transition to renewable energy and support more sustainable development. As the world confronts climate change, rising energy demands, and the need to reduce carbon emissions, intelligent technologies are playing an increasingly important role in optimizing energy production, improving system efficiency, and supporting smarter decision-making. AI offers new opportunities to enhance the reliability and resilience of renewable energy systems while enabling more effective management of energy resources. Understanding how these technologies can drive a cleaner and more sustainable energy future has become a critical priority for researchers, industry leaders, and policymakers alike. Sustaining Intelligent Societies Through Renewable Energy Sources for AI Development explores how AI can enhance and optimize renewable energy systems to build more resilient and sustainable societies. Rather than viewing AI as a burden on energy infrastructure, this book positions it as a transformative enabler capable of addressing the intermittent and variable nature of renewable energy, improving energy forecasting, advancing smart grid management, and driving innovation in energy storage. Covering topics such as thermal optimization, geothermal technologies, and hydrogen energy systems, this book is a fundamental academic resource for graduate and doctoral students, energy engineers, utility professionals, renewable energy specialists, smart grid researchers, infrastructure planners, technology professionals, sustainability professionals, environmental planners, policymakers, and more.

Su questo libro

Informazioni sugli autori

Manar Alkhatib Accomplished academic and researcher with over 16 years of experience in AI, machine learning, deep learning, and natural language processing. Proven track record in leading interdisciplinary projects, publishing in Q1 journals, and securing collaborative research grants. She has successfully supervised PhD and master's students as a primary supervisor and contributed to doctoral research as a co-supervisor, guiding students towards successful graduation. She has also published more than 60 papers in international journals and conference proceedings. Passionate about ethical AI development, student mentorship, and applying innovative AI solutions across domains such as smart cities, education, and legal technologies.

Bassam Abu-Hijleh is a Professor of Sustainability and the Head of the Sustainability MSc & PhD programmes at the British University in Dubai (BUiD). He holds a PhD in Mechanical Engineering from Ohio State University-USA. His current research interests focus on Experimental and simulation study of solar energy, Renewable/alternative energy sources, advanced energy production practices, and Energy conservation & management. He published more than 140 papers in international journals and conferences. He holds several professional awards including CEM, CEA, CMVP, PCF, CBCP, CDSM, CAP, REP, SPVP and LEED BD+C. He served as the Assistant Director for Int. Membership Development Middle East for the Association of Energy Engineers (AEE) 2014-2016. He is currently a member of AEE's International Certification Committee. He is also a member of the Book and Certification board of several AEE certifications including CEM, PCF, and CDSM, SPVS.

Dettagli dell'edizione

• Editore: Igi Global Scientific Publishing
• Data di pubblicazione: 2026
• Lingua: Inglese
• ISBN 13: 9798337375496
• Rilegatura: Hardcover
• Numero di pagine: 448
• Redattore: Alkhatib Manar, Abu-Hijleh Bassam
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile