LEADER 03228nam 22005415 450 001 9910367238003321 005 20200630171243.0 010 $a981-15-1860-2 024 7 $a10.1007/978-981-15-1860-7 035 $a(CKB)5280000000190054 035 $a(MiAaPQ)EBC5997309 035 $a(DE-He213)978-981-15-1860-7 035 $a(PPN)242817947 035 $a(EXLCZ)995280000000190054 100 $a20191212d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNon-intrusive Load Monitoring $eTheory, Technologies and Applications /$fby Hui Liu 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (288 pages) 311 $a981-15-1859-9 327 $aIntroduction -- Detection of Transient Events in Time Series -- Appliance Signature Extraction -- Appliance Identification Based on Template Matching -- Steady State Current Decomposition Based Appliance Identification -- Machine Learning Based Appliance Identification -- Hidden Markov Models Based Appliance Identification -- Deep Learning Based Appliance Identification -- Deterministic Prediction of Electric Load Time Series -- Interval Prediction of Electric Load Time Series. 330 $aFocusing on non-intrusive load monitoring techniques in the area of smart grids and smart buildings, this book presents a thorough introduction to related basic principles, while also proposing improvements. As the basis of demand-side energy management, the non-intrusive load monitoring techniques are highly promising in terms of their energy-saving and carbon emission reduction potential. The book is structured clearly and written concisely. It introduces each aspect of these techniques with a number of examples, helping readers to understand and use the corresponding results. It provides latest strengths on the non-intrusive load monitoring techniques for engineers and managers of relevant departments. It also offers extensive information and a source of inspiration for researchers and students, while outlining future research directions. 606 $aEnergy efficiency 606 $aArtificial intelligence 606 $aPower electronics 606 $aEnergy Efficiency$3https://scigraph.springernature.com/ontologies/product-market-codes/118000 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aPower Electronics, Electrical Machines and Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24070 615 0$aEnergy efficiency. 615 0$aArtificial intelligence. 615 0$aPower electronics. 615 14$aEnergy Efficiency. 615 24$aArtificial Intelligence. 615 24$aPower Electronics, Electrical Machines and Networks. 676 $a621.317 700 $aLiu$b Hui$4aut$4http://id.loc.gov/vocabulary/relators/aut$0274539 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910367238003321 996 $aNon-intrusive Load Monitoring$92184209 997 $aUNINA