LEADER 05628nam 2201321z- 450 001 9910576877503321 005 20231214132824.0 035 $a(CKB)5720000000008400 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/84546 035 $a(EXLCZ)995720000000008400 100 $a20202206d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning and Data Mining Applications in Power Systems 210 $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 electronic resource (314 p.) 311 $a3-0365-4177-2 311 $a3-0365-4178-0 330 $aThis Special Issue was intended as a forum to advance research and apply machine-learning and data-mining methods to facilitate the development of modern electric power systems, grids and devices, and smart grids and protection devices, as well as to develop tools for more accurate and efficient power system analysis. Conventional signal processing is no longer adequate to extract all the relevant information from distorted signals through filtering, estimation, and detection to facilitate decision-making and control actions. Machine learning algorithms, optimization techniques and efficient numerical algorithms, distributed signal processing, machine learning, data-mining statistical signal detection, and estimation may help to solve contemporary challenges in modern power systems. The increased use of digital information and control technology can improve the grid?s reliability, security, and efficiency; the dynamic optimization of grid operations; demand response; the incorporation of demand-side resources and integration of energy-efficient resources; distribution automation; and the integration of smart appliances and consumer devices. Signal processing offers the tools needed to convert measurement data to information, and to transform information into actionable intelligence. This Special Issue includes fifteen articles, authored by international research teams from several countries. 606 $aTechnology: general issues$2bicssc 606 $aHistory of engineering & technology$2bicssc 606 $aEnergy industries & utilities$2bicssc 610 $avirtual power plant (VPP) 610 $apower quality (PQ) 610 $aglobal index 610 $adistributed energy resources (DER) 610 $aenergy storage systems (ESS) 610 $apower systems 610 $along-term assessment 610 $abattery energy storage systems (BESS) 610 $asmart grids 610 $aconducted disturbances 610 $apower quality 610 $asupraharmonics 610 $a2-150 kHz 610 $aPower Line Communications (PLC) 610 $aintentional emission 610 $anon-intentional emission 610 $amains signalling 610 $avirtual power plant 610 $adata mining 610 $aclustering 610 $adistributed energy resources 610 $aenergy storage systems 610 $ashort term conditions 610 $acluster analysis (CA) 610 $anonlinear loads 610 $aharmonics, cancellation, and attenuation of harmonics 610 $awaveform distortion 610 $aTHDi 610 $alow-voltage networks 610 $aoptimization techniques 610 $adifferent batteries 610 $aoff-grid microgrid 610 $aintegrated renewable energy system 610 $acluster analysis 610 $aK-means 610 $aagglomerative 610 $aANFIS 610 $afuzzy logic 610 $ainduction generator 610 $aMPPT 610 $aneural network 610 $arenewable energy 610 $avariable speed WECS 610 $awind energy conversion system 610 $awind energy 610 $afrequency estimation 610 $aspectrum interpolation 610 $apower network disturbances 610 $aCOVID-19 610 $atime-varying reproduction number 610 $asocial distancing 610 $aload profile 610 $ademographic characteristic 610 $ahousehold energy consumption 610 $ademand-side management 610 $aenergy management 610 $atime series 610 $aHidden Markov Model 610 $ashort-term forecast 610 $asparse signal decomposition 610 $asupervised dictionary learning 610 $adictionary impulsion 610 $asingular value decomposition 610 $adiscrete cosine transform 610 $adiscrete Haar transform 610 $adiscrete wavelet transform 610 $atransient stability assessment 610 $ahome energy management 610 $abinary-coded genetic algorithms 610 $aoptimal power scheduling 610 $ademand response 610 $aData Injection Attack 610 $amachine learning 610 $acritical infrastructure 610 $asmart grid 610 $awater treatment plant 610 $apower system 615 7$aTechnology: general issues 615 7$aHistory of engineering & technology 615 7$aEnergy industries & utilities 700 $aLeonowicz$b Zbigniew$4edt$01296134 702 $aJasin?ski$b Micha?$4edt 702 $aLeonowicz$b Zbigniew$4oth 702 $aJasin?ski$b Micha?$4oth 906 $aBOOK 912 $a9910576877503321 996 $aMachine Learning and Data Mining Applications in Power Systems$93038164 997 $aUNINA