Machine Learning Approaches to Non-Intrusive Load Monitoring EPUB
by Roberto Bonfigli, Stefano Squartini
Part of the SpringerBriefs in Energy series
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Research on Smart Grids has recently focused on the energy monitoring issue, with the objective of maximizing the user consumption awareness in building contexts on the one hand, and providing utilities with a detailed description of customer habits on the other. In particular, Non-Intrusive Load Monitoring (NILM), the subject of this book, represents one of the hottest topics in Smart Grid applications. NILM refers to those techniques aimed at decomposing the consumption-aggregated data acquired at a single point of measurement into the diverse consumption profiles of appliances operating in the electrical system under study.
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- Format:EPUB
- Publisher:Springer International Publishing
- Publication Date:01/11/2019
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- ISBN:9783030307820
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- Paperback / softback from £33.84
Information
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Download Now
- Format:EPUB
- Publisher:Springer International Publishing
- Publication Date:01/11/2019
- Category:
- ISBN:9783030307820