Energy consumption prediction of a smart home using non-intrusive appliance load monitoring
Author:
Publisher
Springer Science and Business Media LLC
Subject
Strategy and Management,Safety, Risk, Reliability and Quality
Link
https://link.springer.com/content/pdf/10.1007/s13198-023-02209-3.pdf
Reference33 articles.
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2. Alnejaili T, Drid S, Mehdi D, Chrifi-Alaoui L (2016) A developed energy management strategy for a stand-alone hybrid power system for medium rural health building. Int Trans Electr Energ Syst 26:713–729. https://doi.org/10.1002/etep.2103
3. Amirach N, Xerri B, Borloz B, Jauffret C (2014) A new approach for event detection and feature extraction for NILM. In: 2014 21st IEEE international conference on electronics, circuits and systems (ICECS), Marseille, France, pp 287–290. https://doi.org/10.1109/ICECS.2014.7049978
4. Baillie RT (1980) Predictions from armax models. J Econom 12:365–374. https://doi.org/10.1016/0304-4076(80)90062-7
5. Baranski M, Voss J (2003) Nonintrusive appliance load monitoring based on an optical sensor. In: 2003 IEEE bologna power tech conference proceedings, Bologna, Italy, vol 4, pp 8, 23–26 June 2003. https://doi.org/10.1109/PTC.2003.1304732
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