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Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities
Details
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, andstudents. 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 innovationsmainly ICTthe 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.
Includes recent research on artificial intelligence in renewable energetic systems Features the proceedings of the 5th International Conference on Artificial Intelligence in Renewable Energetic Systems Proposes the development of new technological innovations
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783030920401
- Genre Technology Encyclopedias
- Auflage 1st edition 2022
- Editor Mustapha Hatti
- Lesemotiv Verstehen
- Anzahl Seiten 936
- Herausgeber Springer International Publishing
- Größe H235mm x B155mm x T50mm
- Jahr 2022
- EAN 9783030920401
- Format Kartonierter Einband
- ISBN 3030920402
- Veröffentlichung 26.11.2022
- Titel Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities
- Untertitel Case Study: Tipasa, Algeria
- Gewicht 1387g
- Sprache Englisch