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020 _a9783030920388
024 7 _a10.1007/978-3-030-92038-8
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aTD159.4
_b2022 EB
245 0 0 _aArtificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities :
_bCase Study : Tipasa, Algeria
_cedited by Mustapha Hatti
250 _a1st edition 2022
264 1 _aCham
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (XIII, 920 páginas)
_b646 ilustraciones, 541 ilustraciones a color
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aLecture Notes in Networks and Systems
_x2367-3389
_v361
520 _aThis 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.
988 _aSpringer_Robotics_2022
650 7 _2embne
_9670332
_aCiudades inteligentes
_vCongresos y asambleas
_zArgelia
650 7 _2embne
_aInteligencia artificial
_vCongresos y asambleas
_9413115
650 7 _2embne
_9143912
_aRecursos energéticos renovables
_vCongresos y asambleas
776 0 8 _iPrinted edition:
_z9783030920371
776 0 8 _iPrinted edition:
_z9783030920395
776 0 8 _iPrinted edition:
_z9783030920401
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-92038-8
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b01/2023
_dz
_eIG
_zSI