03228nam 22005415 450 991036723800332120200630171243.0981-15-1860-210.1007/978-981-15-1860-7(CKB)5280000000190054(MiAaPQ)EBC5997309(DE-He213)978-981-15-1860-7(PPN)242817947(EXLCZ)99528000000019005420191212d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierNon-intrusive Load Monitoring Theory, Technologies and Applications /by Hui Liu1st ed. 2020.Singapore :Springer Singapore :Imprint: Springer,2020.1 online resource (288 pages)981-15-1859-9 Introduction -- 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.Focusing 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.Energy efficiencyArtificial intelligencePower electronicsEnergy Efficiencyhttps://scigraph.springernature.com/ontologies/product-market-codes/118000Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Power Electronics, Electrical Machines and Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/T24070Energy efficiency.Artificial intelligence.Power electronics.Energy Efficiency.Artificial Intelligence.Power Electronics, Electrical Machines and Networks.621.317Liu Huiauthttp://id.loc.gov/vocabulary/relators/aut274539MiAaPQMiAaPQMiAaPQBOOK9910367238003321Non-intrusive Load Monitoring2184209UNINA