LAPSE:2019.1557
Published Article
LAPSE:2019.1557
The Fuzzy Logic Method to Efficiently Optimize Electricity Consumption in Individual Housing
Sébastien Bissey, Sébastien Jacques, Jean-Charles Le Bunetel
December 10, 2019
Electricity demand shifting and reduction still raise a huge interest for end-users at the household level, especially because of the ongoing design of a dynamic pricing approach. In particular, end-users must act as the starting point for decreasing their consumption during peak hours to prevent the need to extend the grid and thus save considerable costs. This article points out the relevance of a fuzzy logic algorithm to efficiently predict short term load consumption (STLC). This approach is the cornerstone of a new home energy management (HEM) algorithm which is able to optimize the cost of electricity consumption, while smoothing the peak demand. The fuzzy logic modeling involves a strong reliance on a complete database of real consumption data from many instrumented show houses. The proposed HEM algorithm enables any end-user to manage his electricity consumption with a high degree of flexibility and transparency, and “reshape” the load profile. For example, this can be mainly achieved using smart control of a storage system coupled with remote management of the electric appliances. The simulation results demonstrate that an accurate prediction of STLC gives the possibility of achieving optimal planning and operation of the HEM system.
Keywords
demand side management, electricity consumption prediction and management, fuzzy logic algorithm, individual housing
Suggested Citation
Bissey S, Jacques S, Le Bunetel JC. The Fuzzy Logic Method to Efficiently Optimize Electricity Consumption in Individual Housing. (2019). LAPSE:2019.1557
Author Affiliations
Bissey S: Research Group on Materials, Microelectronics, Acoustics, and Nanotechnology, University of Tours, 37000 Tours, France
Jacques S: Research Group on Materials, Microelectronics, Acoustics, and Nanotechnology, University of Tours, 37000 Tours, France [ORCID]
Le Bunetel JC: Research Group on Materials, Microelectronics, Acoustics, and Nanotechnology, University of Tours, 37000 Tours, France
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Journal Name
Energies
Volume
10
Issue
11
Article Number
E1701
Year
2017
Publication Date
2017-10-25
Published Version
ISSN
1996-1073
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Original Submission
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PII: en10111701, Publication Type: Journal Article
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LAPSE:2019.1557
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doi:10.3390/en10111701
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Dec 10, 2019
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Dec 10, 2019
 
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Calvin Tsay
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