LEADER 03246nam 2200781z- 450 001 9910566478903321 005 20220506 035 $a(CKB)5680000000037591 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/81232 035 $a(oapen)doab81232 035 $a(EXLCZ)995680000000037591 100 $a20202205d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAI Applications to Power Systems 210 $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 online resource (156 p.) 311 08$a3-0365-3653-1 311 08$a3-0365-3654-X 330 $aToday, the flow of electricity is bidirectional, and not all electricity is centrally produced in large power plants. With the growing emergence of prosumers and microgrids, the amount of electricity produced by sources other than large, traditional power plants is ever-increasing. These alternative sources include photovoltaic (PV), wind turbine (WT), geothermal, and biomass renewable generation plants. Some renewable energy resources (solar PV and wind turbine generation) are highly dependent on natural processes and parameters (wind speed, wind direction, temperature, solar irradiation, humidity, etc.). Thus, the outputs are so stochastic in nature. New data-science-inspired real-time solutions are needed in order to co-develop digital twins of large intermittent renewable plants whose services can be globally delivered. 606 $aHistory of engineering & technology$2bicssc 606 $aTechnology: general issues$2bicssc 610 $aartificial neural networks 610 $aautomatic P2P energy trading 610 $acellular computational networks 610 $achange detection 610 $acontingency 610 $adata analytics 610 $adata mining 610 $adeep Q-network 610 $adeep reinforcement learning 610 $adynamic mode decomposition 610 $aevent detection 610 $afeature extraction 610 $afiltering 610 $afuzzy system 610 $ainter-area oscillations 610 $aload flow prediction 610 $along short-term delayed reward 610 $amachine learning 610 $amachine-learning 610 $amanta ray foraging optimization algorithm 610 $aMarkov decision process 610 $amodal analysis 610 $amulti-objective function 610 $an/a 610 $aoptimal power flow 610 $aoptimization 610 $aoptimization techniques 610 $apower quality 610 $aradial networks 610 $areduced order modeling 610 $aself-healing grid 610 $asignal processing 610 $asituation awareness 610 $asteady-state security assessment 610 $atotal variation smoothing 615 7$aHistory of engineering & technology 615 7$aTechnology: general issues 700 $aTjing Lie$b Tek$4edt$01284045 702 $aTjing Lie$b Tek$4oth 906 $aBOOK 912 $a9910566478903321 996 $aAI Applications to Power Systems$93019229 997 $aUNINA