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010   $a3-032-12301-1
024 7 $a10.1007/978-3-032-12301-5
035   $a(CKB)44769966100041
035   $a(MiAaPQ)EBC32471297
035   $a(Au-PeEL)EBL32471297
035   $a(DE-He213)978-3-032-12301-5
035   $a(OCoLC)1565879472
035   $a(EXLCZ)9944769966100041
100   $a20260102d2026      u|         0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aSmart Charging in Solar Microgrids $eIntelligent Forecasting and Control for Sustainable Electric Mobility /$fedited by Artur Zaporozhets
205   $a1st ed. 2026.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2026.
215   $a1 online resource (176 pages)
225 1 $aLecture Notes in Electrical Engineering,$x1876-1119 ;$v1518
311 08$a3-032-12300-3 
327   $aIntegration of Electric Vehicle Charging Stations into Microgrid with Solar Generation -- Analysis of the Impact of Meteorological Factors on Solar Energy Generation in the Microgrid -- Models for Forecasting Solar Generation in the Microgrid -- Predictive Models of Solar Generation in the Microgrid -- Algorithm for Charging Stations Controlling in a Microgrid with Solar Generation -- Modelling and Implementation of Intelligent Charging of Electric Vehicles in the Microgrid with Solar Generation.
330   $aThe integration of microgrids with solar generation enhances energy efficiency, stability, and sustainability. Yet, managing such systems requires advanced forecasting and optimisation models. Microgrids that unite distributed sources, storage, and intelligent control enable efficient energy use even under grid constraints. Powering electric vehicle charging stations with solar energy supports eco-friendly and independent mobility. This book explores modern methods for modelling and controlling EV charging stations within solar-powered microgrids. It focuses on predictive models, load balancing, and optimisation algorithms that improve energy distribution and grid reliability. Special attention is given to intelligent control strategies, machine learning applications, and adaptive scheduling. The presented approaches advance sustainable energy development, enabling flexible, efficient, and environmentally friendly charging infrastructure for the electric transport of the future.
410  0$aLecture Notes in Electrical Engineering,$x1876-1119 ;$v1518
606   $aTelecommunication
606   $aElectric power distribution
606   $aAutomatic control
606   $aRobotics
606   $aAutomation
606   $aCommunications Engineering, Networks
606   $aEnergy Grids and Networks
606   $aControl, Robotics, Automation
615  0$aTelecommunication.
615  0$aElectric power distribution.
615  0$aAutomatic control.
615  0$aRobotics.
615  0$aAutomation.
615 14$aCommunications Engineering, Networks.
615 24$aEnergy Grids and Networks.
615 24$aControl, Robotics, Automation.
676   $a621.382
700   $aZaporozhets$b Artur$01437508
701   $aE?l?sner$b Anatoli?i? Ottovich$01891426
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9911049059403321
996   $aSmart Charging in Solar Microgrids$94534471
997   $aUNINA