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Autore: |
Liu Hui
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Titolo: |
Non-intrusive Load Monitoring : Theory, Technologies and Applications / / by Hui Liu
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Pubblicazione: | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
Edizione: | 1st ed. 2020. |
Descrizione fisica: | 1 online resource (288 pages) |
Disciplina: | 621.317 |
Soggetto topico: | Energy efficiency |
Artificial intelligence | |
Power electronics | |
Energy Efficiency | |
Artificial Intelligence | |
Power Electronics, Electrical Machines and Networks | |
Nota di contenuto: | 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. |
Sommario/riassunto: | 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. |
Titolo autorizzato: | Non-intrusive Load Monitoring ![]() |
ISBN: | 981-15-1860-2 |
Formato: | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910367238003321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |