Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities

Released on by Mustapha Hatti
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  • Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities Book Detail

  • Author : Mustapha Hatti
  • Release Date : 2021-11-24
  • Publisher : Springer Nature
  • Genre : Technology & Engineering
  • Pages : 927
  • ISBN 13 : 3030920380
  • File Size : 86,86 MB
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Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities by Mustapha Hatti PDF Summary

Book Description: This book emphasizes the role of micro-grid systems and connected networks for the strategic storage of energy through the use of information and communication techniques, big data, the cloud, and meta-heuristics to support the greed for artificial intelligence techniques in data and the implementation of global strategies to meet the challenges of the city in the broad sense. The intelligent management of renewable energy in the context of the energy transition requires the use of techniques and tools based on artificial intelligence (AI) to overcome the challenges of the intermittence of resources and the cost of energy. The advent of the smart city makes an increased call for the integration of artificial intelligence and heuristics to meet the challenge of the increasing migration of populations to the city, in order to ensure food, energy, and environmental security of the citizen of the city and his well-being. This book is intended for policymakers, academics, practitioners, and students. Several real cases are exposed throughout the book to illustrate the concepts and methods of the networks and systems presented. This book proposes the development of new technological innovations—mainly ICT—the concept of “Smart City” appears as a means of achieving more efficient and sustainable cities. The overall goal of the book is to develop a comprehensive framework to help public and private stakeholders make informed decisions on smart city investment strategies and develop skills for assessment and prioritization, including resolution of difficulties with deployment and reproducibility.

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