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001433061 001__ 1433061
001433061 003__ OCoLC
001433061 005__ 20230309003547.0
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001433061 008__ 201226s2021\\\\sz\\\\\\o\\\\\001\0\eng\d
001433061 019__ $$a1227449814$$a1237444826$$a1238203538
001433061 020__ $$a9783030638467$$q(electronic bk.)
001433061 020__ $$a3030638464$$q(electronic bk.)
001433061 020__ $$z3030638456
001433061 020__ $$z9783030638450
001433061 0247_ $$a10.1007/978-3-030-63846-7$$2doi
001433061 035__ $$aSP(OCoLC)1228036358
001433061 040__ $$aEBLCP$$beng$$epn$$cEBLCP$$dYDX$$dGW5XE$$dOCLCO$$dSFB$$dDCT$$dOCLCF$$dUKAHL$$dVLB$$dOCLCQ$$dOCLCO$$dOCLCQ
001433061 049__ $$aISEA
001433061 050_4 $$aTJ808$$b.A78 2021eb
001433061 08204 $$a333.7902856/3$$223
001433061 24500 $$aArtificial intelligence and renewables towards an energy transition /$$cMustapha Hatti, editor.
001433061 264_1 $$aCham :$$bSpringer,$$c2021.
001433061 264_4 $$c©2021
001433061 300__ $$a1 online resource (xv, 990 pages)
001433061 336__ $$atext$$btxt$$2rdacontent
001433061 337__ $$acomputer$$bc$$2rdamedia
001433061 338__ $$aonline resource$$bcr$$2rdacarrier
001433061 347__ $$atext file
001433061 347__ $$bPDF
001433061 4901_ $$aLecture notes in networks and systems ;$$vv. 174
001433061 500__ $$aIncludes author index.
001433061 50500 $$gPart I.$$tHybrid Energetic Systems PV-WIND, with Energy Storage --$$gPart II.$$tHeuristic Optimization, Modeling and Control of Energetic Systems --$$gPart III.$$tEngineering Applications of Artificial Intelligence --$$gPart IV.$$tInternet of Things, Database and Transmission --$$gPart V.$$tPower and Materials in Renewable Energetic Systems. 96 papers.
001433061 506__ $$aAccess limited to authorized users.
001433061 520__ $$aThis proceedings book emphasizes adopting artificial intelligence-based and sustainable energy efficiency integrated with clear objectives, to involve researchers, students, and specialists in their development and implementation adequately in achieving objectives. The integration of artificial intelligence into renewable energetic systems would allow the rapid development of a knowledge-based economy suitable to the energy transition, while fully integrating the renewables into the global economy. This is how artificial intelligence has hand in by conceptualizing this transition and above all by saving time. The knowledge economy is valuated within the smart cities, which are fast becoming the favorite places where the energy transition will take place efficiently and intelligently by implementing integrated approaches to energy saving and energy supply and integrated urban approaches that go beyond individual interventions in buildings or transport modes using information and communication technologies.
001433061 588__ $$aDescription based on print version record.
001433061 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed February 23, 2021).
001433061 650_0 $$aRenewable energy sources$$xData processing.
001433061 650_0 $$aArtificial intelligence$$xEngineering applications.
001433061 650_6 $$aÉnergies renouvelables$$xInformatique.
001433061 650_6 $$aIntelligence artificielle$$xApplications en ingénierie.
001433061 655_0 $$aElectronic books.
001433061 7001_ $$aHatti, Mustapha,$$eeditor.
001433061 77608 $$iPrint version:$$aHatti, Mustapha.$$tArtificial Intelligence and Renewables Towards an Energy Transition.$$dCham : Springer International Publishing AG, ©2021$$z9783030638450
001433061 830_0 $$aLecture notes in networks and systems ;$$vv. 174.
001433061 852__ $$bebk
001433061 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-63846-7$$zOnline Access$$91397441.1
001433061 909CO $$ooai:library.usi.edu:1433061$$pGLOBAL_SET
001433061 980__ $$aBIB
001433061 980__ $$aEBOOK
001433061 982__ $$aEbook
001433061 983__ $$aOnline
001433061 994__ $$a92$$bISE