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010   $a3-030-04789-X
024 7 $a10.1007/978-3-030-04789-4
035   $a(CKB)4100000007159003
035   $a(MiAaPQ)EBC5603454
035   $a(DE-He213)978-3-030-04789-4
035   $a(PPN)24376779X
035   $a(EXLCZ)994100000007159003
100   $a20181123d2019      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aRenewable Energy for Smart and Sustainable Cities $eArtificial Intelligence in Renewable Energetic Systems /$fedited by Mustapha Hatti
205   $a1st ed. 2019.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019.
215   $a1 online resource (xiv, 569 pages)
225 1 $aLecture Notes in Networks and Systems,$x2367-3370 ;$v62
311   $a3-030-04788-1 
330   $aThis book features cutting-edge research presented at the second international conference on Artificial Intelligence in Renewable Energetic Systems, IC-AIRES2018, held on 24?26 November 2018, at the High School of Commerce, ESC-Koléa in Tipaza, Algeria. Today, the fundamental challenge of integrating renewable energies into the design of smart cities is more relevant than ever. While based on the advent of big data and the use of information and communication technologies, smart cities must now respond to cross-cutting issues involving urban development, energy and environmental constraints; further, these cities must also explore how they can integrate more sustainable energies. Sustainable energies are a major determinant of smart cities? longevity. From an environmental and technological standpoint, these energies offer an optimal power supply to the electric network while creating significantly less pollution. This requires flexibility, i.e., the availability of supply and demand. The end goal of any smart city is to improve the quality of life for all citizens (both in the city and in the countryside) in a way that is sustainable and respectful of the environment. This book encourages the reader to engage in the preservation of our environment, every moment, every day, so as to help build a clean and healthy future, and to think of the future generations who will one day inherit our planet. Further, it equips those whose work involves energy systems and those engaged in modelling artificial intelligence to combine their expertise for the benefit of the scientific community and humanity as a whole.
410  0$aLecture Notes in Networks and Systems,$x2367-3370 ;$v62
606   $aComputational intelligence
606   $aRenewable energy resources
606   $aArtificial intelligence
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aRenewable and Green Energy$3https://scigraph.springernature.com/ontologies/product-market-codes/111000
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
615  0$aComputational intelligence.
615  0$aRenewable energy resources.
615  0$aArtificial intelligence.
615 14$aComputational Intelligence.
615 24$aRenewable and Green Energy.
615 24$aArtificial Intelligence.
676   $a006.3
702   $aHatti$b Mustapha$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a9910484032803321
996   $aRenewable Energy for Smart and Sustainable Cities$92851966
997   $aUNINA