Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Sarra Houidi"'
Publikováno v:
Energies, Vol 14, Iss 9, p 2726 (2021)
Non-Intrusive Load Monitoring (NILM) refers to the analysis of the aggregated current and voltage measurements of Home Electrical Appliances (HEAs) recorded by the house electrical panel. Such methods aim to identify each HEA for a better control of
Externí odkaz:
https://doaj.org/article/00a63421dfa9461e84f8d39ba1dc3759
Publikováno v:
Entropy, Vol 22, Iss 9, p 911 (2020)
Since decades past, time–frequency (TF) analysis has demonstrated its capability to efficiently handle non-stationary multi-component signals which are ubiquitous in a large number of applications. TF analysis us allows to estimate physics-related
Externí odkaz:
https://doaj.org/article/fe445b74f2224c5fbf3a307c3097613c
Publikováno v:
EVER
This paper proposes a comprehensive framework named HAESD designed under the software environment LabVIEW to build up a database for NonIntrusive Load Monitoring (NILM) purposes. It provides the central component of a scalable architecture for the st
Publikováno v:
Energy and Buildings
Energy and Buildings, 2020, 208, pp.109624. ⟨10.1016/j.enbuild.2019.109624⟩
Energy and Buildings, Elsevier, 2020, 208, pp.109624. ⟨10.1016/j.enbuild.2019.109624⟩
Energy and Buildings, 2020, 208, pp.109624. ⟨10.1016/j.enbuild.2019.109624⟩
Energy and Buildings, Elsevier, 2020, 208, pp.109624. ⟨10.1016/j.enbuild.2019.109624⟩
International audience; Non-Intrusive Load Monitoring (NILM) approaches refer to the analysis of the aggregated electrical signals of Home Electrical Appliances (HEAs) in order to identify each of them. It has emerged as a promising solution to help
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9cba25bf77de18154f5a1de30a9b84a
https://hal.science/hal-02386782/file/S037877881932448X.pdf
https://hal.science/hal-02386782/file/S037877881932448X.pdf
Publikováno v:
2019 IEEE Innovative Smart Grid Technologies-Asia (ISGT Asia)
2019 IEEE Innovative Smart Grid Technologies-Asia (ISGT Asia), May 2019, Chengdu, France. pp.726-730, ⟨10.1109/ISGT-Asia.2019.8881110⟩
2019 IEEE Innovative Smart Grid Technologies-Asia (ISGT Asia), May 2019, Chengdu, France. pp.726-730, ⟨10.1109/ISGT-Asia.2019.8881110⟩
This paper presents an Abrupt Change Detection (ACD) algorithm based on Mathematical Morphology Gradient (MMG) for Non-Intrusive Load Monitoring (NILM). In the present research of MMG, it is focused on filtering the original signals rather than locat
Autor:
Philippe Frétaud, Laurence Miegeville, François Auger, Houda Ben Attia Sethom, Dominique Fourer, Sarra Houidi
Publikováno v:
2019 10th International Renewable Energy Congress (IREC).
Non Intrusive Load Monitoring (NILM) of Home Electrical Appliances (HEAs) has received a major interest in the last twenty years due to the increase of electricity consumption in the residential sector. One NILM key component is the acquistion of vol
Publikováno v:
Energy and Buildings. 211:109813