LEADER 07602nam 22019933a 450 001 9910367565403321 005 20250203235428.0 010 $a9783039214167 010 $a3039214160 024 8 $a10.3390/books978-3-03921-416-7 035 $a(CKB)4100000010106092 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/50427 035 $a(ScCtBLL)b178e957-f1f4-4bef-ae20-8aa7abb8b2a0 035 $a(OCoLC)1163840647 035 $a(oapen)doab50427 035 $a(EXLCZ)994100000010106092 100 $a20250203i20192019 uu 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aIntelligent Control in Energy Systems$fAnastasios Dounis 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2019 210 1$aBasel, Switzerland :$cMDPI,$d2019. 215 $a1 electronic resource (508 p.) 311 08$a9783039214150 311 08$a3039214152 330 $aThe editors of this Special Issue titled "Intelligent Control in Energy Systems" have attempted to create a book containing original technical articles addressing various elements of intelligent control in energy systems. In response to our call for papers, we received 60 submissions. Of those submissions, 27 were published and 33 were rejected. In this book, we offer the 27 accepted technical articles as well as one editorial. Authors from 15 countries (China, Netherlands, Spain, Tunisia, United Sates of America, Korea, Brazil, Egypt, Denmark, Indonesia, Oman, Canada, Algeria, Mexico, and the Czech Republic) elaborate on several aspects of intelligent control in energy systems. The book covers a broad range of topics including fuzzy PID in automotive fuel cell and MPPT tracking, neural networks for fuel cell control and dynamic optimization of energy management, adaptive control on power systems, hierarchical Petri Nets in microgrid management, model predictive control for electric vehicle battery and frequency regulation in HVAC systems, deep learning for power consumption forecasting, decision trees for wind systems, risk analysis for demand side management, finite state automata for HVAC control, robust ?-synthesis for microgrids, and neuro-fuzzy systems in energy storage. 610 $aenergy management system 610 $aartificial neural network 610 $acontrol architecture 610 $aintelligent buildings 610 $asensitivity analysis 610 $aneural networks 610 $aactive balance 610 $aphotovoltaic system 610 $afast frequency response 610 $aartificial intelligence 610 $aMPPT operation 610 $amodel uncertainty 610 $aload frequency control 610 $adecision tree 610 $amulti-agent control 610 $ahybrid power plant 610 $aFault Ride Through Capability 610 $aoptimization 610 $asmall scale compressed air energy storage (SS-CAES) 610 $asmart micro-grid 610 $acurrent distortion 610 $ahybrid electric vehicle 610 $aparameter estimation 610 $arailway 610 $aANFIS 610 $asolar monitoring system 610 $aurban microgrids 610 $aphase-load balancing 610 $amodel reduction 610 $ahigh-speed railway 610 $aenergy internet 610 $acoordination of reserves 610 $adifferential evolution 610 $aphotovoltaic array 610 $aancillary service 610 $aadjacent areas 610 $ainstantaneous optimization minimum power loss 610 $amodel predictive control 610 $aHVAC systems 610 $asliding mode control 610 $aMPPT: maximum power point tracking 610 $apower oscillations 610 $athyristor 610 $ainteraction minimization 610 $aoccupancy model 610 $afuzzy logic controller 610 $apower transformer winding 610 $aRLS 610 $aintegrated energy systems 610 $avibration characteristics 610 $abattery safety 610 $aerror estimation 610 $aerror compensation 610 $astatic friction 610 $aconvolutional neural network 610 $aforecasting 610 $acontinuous voltage control 610 $amedium voltage 610 $abridgeless SEPIC PFC converter 610 $abuilding climate control 610 $aPEM fuel cell 610 $aproton exchange membrane fuel cell 610 $acompound structured permanent-magnet motor 610 $aoccupancy-based control 610 $afour phases interleaved boost converter 610 $along short term memory 610 $aline switching 610 $alithium-ion battery pack 610 $aback propagation (BP) neural network 610 $adoubly-fed induction generator 610 $adouble forgetting factors 610 $acurrent controller design 610 $arepetitive controller 610 $aexhaust gas recirculation (EGR) valve system 610 $aneural network controller 610 $astep-up boost converter 610 $ainternal short circuit resistance 610 $aelectric power consumption 610 $aelectric vehicle 610 $amultiphysical field analysis 610 $aenergy efficiency 610 $amulti-energy complementary 610 $asystem identification 610 $a?-synthesis 610 $anetwork sensitivity 610 $aintelligent control 610 $a?-class function 610 $afrequency support 610 $amulti-step forecasting 610 $afrequency containment reserve 610 $aorthogonal least square 610 $arule-based control 610 $aindustrial process 610 $ahierarchical Petri nets 610 $awind integrated power system 610 $aprobabilistic power flow 610 $avoltage controlling 610 $aadaptive backstepping 610 $aAC-DC converters 610 $aline loss 610 $ademand side management 610 $aenergy systems 610 $ashort-circuit experiment 610 $awinding-fault characteristics 610 $aneutral section 610 $astochastic power system operating point drift 610 $aneural network algorithm 610 $aoperation limit violations 610 $afractional order fuzzy PID controller 610 $apreventive control 610 $aAC static switch 610 $abattery packs 610 $amodel-based fault detection 610 $aautomotive application 610 $anonlinear power systems 610 $aadaptive damping control 610 $apilot point 610 $aenergy management 610 $aposition control 610 $afrequency control dead band 610 $afuzzy 610 $avoltage violations 610 $adistribution network planning 610 $afrequency regulation 610 $aenergy management strategy 610 $amultiple-point control 610 $aelectric meter 610 $apolynomial expansion 610 $acommercial/residential buildings 610 $asystem modelling 610 $athree-stage 610 $asoft internal short circuit 610 $ademand response 700 $aDounis$b Anastasios$01287689 801 0$bScCtBLL 801 1$bScCtBLL 906 $aBOOK 912 $a9910367565403321 996 $aIntelligent Control in Energy Systems$93020300 997 $aUNINA