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      Pioneering Approaches in Intelligence, Optimization, and Viability for Renewable Energy Development

      AvKarthickeyan Viswanathan,Wei Wu

      Häftad, Engelska, 2026

      1 976 kr

      Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

      Beskrivning

      Pioneering Approaches in Intelligence, Optimization, and Viability for Renewable Energy Development brings together key advances that are driving growth and development across the renewable energy sector. Innovative areas covered include machine learning, cutting-edge optimization techniques, artificial intelligence, environmental protection, economic viability, integration of blockchain technology, forecasting and predictive analytics, resilience and reliability, and energy storage systems. This book will be of interest to all those looking to understand and implement advanced techniques for renewable energy development, including researchers, advanced students, faculty, engineers, R&D, other industry professionals, and policy makers.

      • Explores state-of-the-art approaches for optimization, forecasting and predictive analytics, and resilience and reliability
      • Examines the role of artificial intelligence, machine learning, and blockchain technology in renewable energy
      • Covers key areas such as environmental protection, economic viability, and energy storage

      Produktinformation

      • Utgivningsdatum:2026-06-03
      • Mått:152 x 229 x 18 mm
      • Vikt:450 g
      • Format:Häftad
      • Språk:Engelska
      • Antal sidor:350
      • Förlag:Elsevier Science
      • ISBN:9780443403125

      Utforska kategorier

      • Energiteknik inom Naturvetenskap och teknik

      Mer om författaren

      Dr. Karthickeyan Viswanathan is an Associate Professor at the Dr. N.G.P. Institute of Technology, India, and a Visiting Associate Research Professor at National Cheng Kung University, Taiwan. He completed his postdoctoral fellowship at Jiangsu University, China. Dr. Viswanathan has published more than 70 research articles in peer-reviewed journals and holds 3 industrial design patents in India. He works on projects under the Department of Science and Technology and the Ministry of Micro, Small and Medium Enterprises, Government of India. Stanford University has selected his research profile as one of the Top 2% of Scientists from 2020 onwards. He has been selected as a Research Fellow Under NCKU 90&Beyond Scheme, Ministry of Education, Taiwan. He is an International Association for Carbon Capture (IACC) Executive Member. Prof. Wei Wu is a Professor in the Department of Chemical Engineering at National Cheng Kung University, Taiwan. He received his Ph.D. in chemical engineering from the National Taiwan University of Science and Technology, Taipei, Taiwan, in 1995. He was a recipient of the Professor Tsai-Teh Lai Award from the Taiwan Institute of Chemical Engineers (2016), the Excellent Research Award from Advanced Semiconductor Engineering Inc. (2018), and the Excellent Research Award from National Cheng Kung University (2019). His research interests include process design, renewable energy, and circular economy.Prof. Shuang Wang is a Professor at the School of Energy and Power Engineering at Jiangsu University, China. His research interests include thermo-chemical conversion, the renewable energy sector, economic studies, solid waste-based energy development, and molecular simulation. He has received grants from the country's leading funding agencies, including the National Natural Science Foundation of China, the Post Doctoral Research Funding Scheme of Jiangsu Province in China, and the China Postdoctoral Science Foundation. He has published more than 200 publications in well-reputed peer-reviewed journals.Dr. Sivakumar Esakkimuthu is currently an Associate Professor at the School of Energy and Power Engineering, Jiangsu University, China. He holds a Ph.D. in Microbial Biotechnology from Bharathiar University, India. His research has focused on methods to enhance the potential of renewable biofuels, and he has experience in microalgal-based bio-energy production and exploiting the biochemical composition variation in microalgae to benefit fuel production.

      Innehållsförteckning

      • 1. Machine learning in the renewable energy sector2. Optimization techniques in the renewable energy sector3. Role of artificial intelligence in the renewable energy sector4. Environmental protection with the renewable energy sector5. Economic viability of the renewable energy sectors in developing countries6. Recent trends in renewable energy management with integrated AI and blockchain7. Forecasting and predictive analytics for renewable energy integration using machine learning or deep learning techniques8. Resilience and reliability in renewable energy systems9. Recent innovations in energy storage system solutions for renewable integration10. Future trends and emerging technologies in the renewable energy sector
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