02939nam 22005775 450 991048364200332120251230060526.03-030-63846-410.1007/978-3-030-63846-7(CKB)4100000011665198(MiAaPQ)EBC6427464(DE-He213)978-3-030-63846-7(PPN)252512731(EXLCZ)99410000001166519820201217d2021 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierArtificial Intelligence and Renewables Towards an Energy Transition /edited by Mustapha Hatti1st ed. 2021.Cham :Springer International Publishing :Imprint: Springer,2021.1 online resource (XV, 990 p. 751 illus., 594 illus. in color.) Lecture Notes in Networks and Systems,2367-3389 ;1743-030-63845-6 This proceedings book emphasizes adopting artificial intelligence-based and sustainable energy efficiency integrated with clear objectives, to involve researchers, students, and specialists in their development and implementation adequately in achieving objectives. The integration of artificial intelligence into renewable energetic systems would allow the rapid development of a knowledge-based economy suitable to the energy transition, while fully integrating the renewables into the global economy. This is how artificial intelligence has hand in by conceptualizing this transition and above all by saving time. The knowledge economy is valuated within the smart cities, which are fast becoming the favorite places where the energy transition will take place efficiently and intelligently by implementing integrated approaches to energy saving and energy supply and integrated urban approaches that go beyond individual interventions in buildings or transport modes using information and communication technologies.Lecture Notes in Networks and Systems,2367-3389 ;174Computational intelligenceEnergy policyEnergy and stateArtificial intelligenceComputational IntelligenceEnergy Policy, Economics and ManagementArtificial IntelligenceComputational intelligence.Energy policy.Energy and state.Artificial intelligence.Computational Intelligence.Energy Policy, Economics and Management.Artificial Intelligence.621.04202854678Hatti MustaphaMiAaPQMiAaPQMiAaPQBOOK9910483642003321Artificial intelligence and renewables towards an energy transition2843700UNINA