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      Artificial Intelligence in Clean Energy Systems

      From Energy Hubs to Smart Grids

      AvAli Ahmadian,Ali Almansoori

      Häftad, Engelska, 2027

      1 840 kr

      Kommande

      Beskrivning

      Artificial Intelligence in Clean Energy Systems: From Energy Hubs to Smart Grids investigates the integration of AI and machine learning into future clean and modern energy systems, focusing on applying such technologies to optimal operation of energy hubs, smart grids, and efficient utilization of renewable energy sources. The book provides an in-depth overview of AI-based forecasting techniques, optimization, automation, and control approaches that enhance energy efficiency and sustainability in modern energy systems. It presents significant issues such as AI-based load demand forecasting, smart grid automation, integration of renewable energy, cybersecurity, and electric vehicle charging demand scheduling

      • Covers AI-driven forecasting, optimization and automation techniques specifically tailored for energy hubs and smart grid
      • Includes industry case studies and real-world implementations of AI in clean energy systems, helping readers bridge theory with practice
      • Explores the latest advancements in AI, machine learning, and deep learning for energy management, making it a valuable resource for researchers and professionals
      • Provides AI-based solutions to key energy challenges such as demand forecasting, grid stability, renewable energy integration, and cybersecurity

      Produktinformation

      • Utgivningsdatum:2027-06-01
      • Mått:152 x 229 x undefined mm
      • Vikt:450 g
      • Format:Häftad
      • Språk:Engelska
      • Antal sidor:300
      • Förlag:Elsevier Science
      • ISBN:9780443451997

      Utforska kategorier

      • Energiteknik inom Naturvetenskap och teknik

      Mer om författaren

      Dr Ali Ahmadian is a research associate with the Department of Chemical Engineering at the University of Waterloo, Canada. He holds a PhD in Electrical Engineering with a strong background in power and energy systems analysis. His research interests include transportation electrification, energy and environment, energy economics, and smart grid Ali Almansoori, Ph.D., is Professor of Chemical Engineering and Associate Provost for Education at Khalifa University - Abu Dhabi. He holds a BSc in Chemical Engineering with highest distinction from the Florida Institute of Technology, PhD in Chemical Engineering in the area of Process Systems Engineering from Imperial College London, and Executive MBA from London Business School. His specific research interests are in computer-aided modelling, optimization and simulation with applications to energy system design, sustainable operations and supply chain management Ali Elkamel, Ph.D., is a Professor of Chemical Engineering at Khalifa University, UAE and the University of Waterloo, Canada. Professor Elkamel holds a BSc in Chemical Engineering and BSc in Mathematics from Colorado School of Mines, an MS in Chemical Engineering from the University of Colorado Boulder, and a Ph.D. in Chemical Engineering from Purdue University. His specific research interests are in computer-aided modeling, optimization, and simulation with applications to energy production planning, carbon management, sustainable operations, and product design. He is currently focusing on research projects related to gas production and processing, integration of renewable energy in oil and gas operations, and the utilization of data analytics (digitalization), machine learning, and artificial intelligence (AI) to improve the process and enterprise-wide efficiency and profitability

      Innehållsförteckning

      • Part I: Foundations of AI in Clean Energy1. Introduction to AI in Clean Energy Systems2. Fundamentals of Energy Hubs and Smart Grids3. Artificial Intelligence and Machine Learning in Energy SystemsPart II: AI for Optimization and Forecasting in Energy Hubs4. AI-Driven Energy Demand Forecasting5. Optimization of Energy Hubs Using AI6. Renewable Energy Integration with AIPart III: AI Applications in Smart Grids7. Smart Grid Automation and Control with AI8. Cybersecurity and AI in Smart Energy Systems9. Electric Vehicles and AI-Driven Smart ChargingPart IV: Future Trends and Case Studies10. AI-Enabled Decentralized Energy Markets11. Real-World AI Implementations in Clean Energy12. The Future of AI in Clean Energy Systems
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