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000826995 019__ $$a1028731722
000826995 020__ $$a9783319731926$$q(electronic book)
000826995 020__ $$a3319731920$$q(electronic book)
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000826995 0247_ $$a10.1007/978-3-319-73192-6$$2doi
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000826995 035__ $$aSP(OCoLC)1029078106$$z(OCoLC)1028731722
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000826995 08204 $$a621.042$$223
000826995 24500 $$aArtificial intelligence in renewable energetic systems :$$bsmart sustainable energy systems /$$cMustapha Hatti, editor.
000826995 264_1 $$aCham :$$bSpringer,$$c2018.
000826995 300__ $$a1 online resource (xii, 531 pages) :$$billustrations.
000826995 336__ $$atext$$btxt$$2rdacontent
000826995 337__ $$acomputer$$bc$$2rdamedia
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000826995 4901_ $$aLecture Notes in Networks and Systems,$$x2367-3370 ;$$vvolume 35
000826995 5050_ $$aNPC Multilevel Inverters Advanced Conversion Technology in APF -- Optimization Study of Hybrid Renewable Energy System in Autonomous Site -- Ensemble of Support Vector Methods to Estimate Global Solar Radiation In Algeria -- Study of percentage effect of Polymer blends system on physical properties using MM/QM approach -- Optimization and characterization of Nanowires Semiconductor based-Solar Cells -- Using Phase Change Materials (PCMs) to reduce energy consumption in buildings -- Optimization of Copper Indium Gallium Diselenide Thin Film Solar Cell (CIGS).
000826995 506__ $$aAccess limited to authorized users.
000826995 520__ $$aThis book includes the latest research presented at the International Conference on Artificial Intelligence in Renewable Energetic Systems held in Tipaza, Algeria on October 22–24, 2017. The development of renewable energy at low cost must necessarily involve the intelligent optimization of energy flows and the intelligent balancing of production, consumption and energy storage. Intelligence is distributed at all levels and allows information to be processed to optimize energy flows according to constraints. This thematic is shaping the outlines of future economies of and offers the possibility of transforming society. Taking advantage of the growing power of the microprocessor makes the complexity of renewable energy systems accessible, especially since the algorithms of artificial intelligence make it possible to take relevant decisions or even reveal unsuspected trends in the management and optimization of renewable energy flows. The book enables those working on energy systems and those dealing with models of artificial intelligence to combine their knowledge and their intellectual potential for the benefit of the scientific community and humanity.
000826995 650_0 $$aEngineering.
000826995 650_0 $$aArtificial intelligence.
000826995 650_0 $$aComputational intelligence.
000826995 650_0 $$aRenewable energy sources.
000826995 650_0 $$aClean energy industries.
000826995 7001_ $$aHatti, Mustapha,$$eeditor.
000826995 77608 $$iPrint version: $$z9783319731919
000826995 830_0 $$aLecture notes in networks and systems ;$$v35.
000826995 852__ $$bebk
000826995 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-73192-6$$zOnline Access$$91397441.1
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