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Conference papers
A Relevant Fuzzy Logic Algorithm to Better Optimize Electricity Consumption in Individual Housing
Abstract : In this article, a Fuzzy Logic algorithm (MATLAB environment) is descripted to better predict and manage electricity consumption in individual housing. Several measurements were performed in 3 houses to have an idea of typical electrical energy consumptions. Without any prediction model, the simulation results of the management system exhibit that it is not possible to smooth all peak demands. In particular, this smoothing is in chronological sequence. Using the prediction and management modeling, the highest peak demands can be forecasted. As a consequence, if the house is composed of a storage system, all stored electricity can be reinjected during the highest peak periods. Finally, the system proposed here provides safety guarantees, and particularly during AC-line disconnection.
Cited literature [11 references]
https://hal-univ-tours.archives-ouvertes.fr/hal-01503553
Contributor : Sebastien Jacques <>
Submitted on : Friday, April 7, 2017 - 11:35:07 AM
Last modification on : Monday, March 30, 2020 - 6:12:02 PM
Document(s) archivé(s) le : Saturday, July 8, 2017 - 3:33:08 PM
Contributor : Sebastien Jacques <>
Submitted on : Friday, April 7, 2017 - 11:35:07 AM
Last modification on : Monday, March 30, 2020 - 6:12:02 PM
Document(s) archivé(s) le : Saturday, July 8, 2017 - 3:33:08 PM
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