An advanced smart home energy management system considering identification of ADLs based on non-intrusive load monitoring
Author:
Funder
Ministry of Science and Technology, Taiwan
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s00202-022-01546-z.pdf
Reference50 articles.
1. Zanella A, Bui N, Castellani A, Vangelista L, Zorzi M (2014) Internet of Things for smart cities. IEEE Internet Things J 1:22–32
2. Liao CF, Chen PY (2017) ROSA: Resource-oriented service management schemes for Web of Things in a smart home. Sensors 17:2159
3. Alilou M, Tousi B, Shayeghi H (2021) Multi-objective energy management of smart homes considering uncertainty in wind power forecasting. Electr Eng 103:1367–1383. https://doi.org/10.1007/s00202-020-01165-6
4. Lin Y-H (2019) Novel smart home system architecture facilitated with distributed and embedded flexible edge analytics in demand-side management. Int Trans Electr Energy Syst 29:e12014. https://doi.org/10.1002/2050-7038.12014
5. Elsayed AM, Hegab MM, Farrag SM (2019) Smart residential load management technique for distribution systems’ performance enhancement and consumers’ satisfaction achievement. Int Trans Electr Energy Syst 29:e2795. https://doi.org/10.1002/etep.2795
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