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Machine Learning Approaches to Non-Intrusive Load Monitoring
part of the SpringerBriefs in Energy series
- Binding:
- Paperback
- Pages:
- 135
- Published:
- November 14, 2019
- Edition:
- 12020
- Dimensions:
- 155x235x0 mm.
- Weight:
- 454 g.
Delivery:
2-4 weeks
Expected delivery: August 1, 2024
Description of Machine Learning Approaches to Non-Intrusive Load Monitoring
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.
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