Fuzzy clustering applied to a demand response model in a smart grid contingency scenario

R. Pereira; R. Melicio; V. M F Mendes; J. Figueiredo; J. Martins; A. Fagundes; J. C. Quadrado

doi:10.1109/SPEEDAM.2014.6872122

Fuzzy clustering applied to a demand response model in a smart grid contingency scenario

R. Pereira, R. Melicio, V. M F Mendes, J. Figueiredo, J. Martins, A. Fagundes, J. C. Quadrado

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

This paper focus on a demand response model analysis in a smart grid context considering a contingency scenario. A fuzzy clustering technique is applied on the developed demand response model and an analysis is performed for the contingency scenario. Model considerations and architecture are described. The demand response developed model aims to support consumers decisions regarding their consumption needs and possible economic benefits.

Original language	English
Title of host publication	2014 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2014
Publisher	IEEE Computer Society
Pages	495-499
Number of pages	5
ISBN (Print)	9781479947492
DOIs	https://doi.org/10.1109/SPEEDAM.2014.6872122
Publication status	Published - 2014
Event	2014 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2014 - Ischia, Italy Duration: 18 Jun 2014 → 20 Jun 2014

Conference

Conference	2014 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2014
Country/Territory	Italy
City	Ischia
Period	18/06/14 → 20/06/14

Keywords

contingency
demand response
fuzzy clustering
smart grid

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/SPEEDAM.2014.6872122

Cite this

Pereira, R., Melicio, R., Mendes, V. M. F., Figueiredo, J., Martins, J., Fagundes, A., & Quadrado, J. C. (2014). Fuzzy clustering applied to a demand response model in a smart grid contingency scenario. In 2014 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2014 (pp. 495-499). Article 6872122 IEEE Computer Society. https://doi.org/10.1109/SPEEDAM.2014.6872122

@inproceedings{56d065679b60461abae54b4007d385f3,

title = "Fuzzy clustering applied to a demand response model in a smart grid contingency scenario",

abstract = "This paper focus on a demand response model analysis in a smart grid context considering a contingency scenario. A fuzzy clustering technique is applied on the developed demand response model and an analysis is performed for the contingency scenario. Model considerations and architecture are described. The demand response developed model aims to support consumers decisions regarding their consumption needs and possible economic benefits.",

keywords = "contingency, demand response, fuzzy clustering, smart grid",

author = "R. Pereira and R. Melicio and Mendes, {V. M F} and J. Figueiredo and J. Martins and A. Fagundes and Quadrado, {J. C.}",

note = "WOS:000346502700084; 2014 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2014 ; Conference date: 18-06-2014 Through 20-06-2014",

year = "2014",

doi = "10.1109/SPEEDAM.2014.6872122",

language = "English",

isbn = "9781479947492",

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booktitle = "2014 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2014",

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Pereira, R, Melicio, R, Mendes, VMF, Figueiredo, J , Martins, J, Fagundes, A & Quadrado, JC 2014, Fuzzy clustering applied to a demand response model in a smart grid contingency scenario. in 2014 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2014., 6872122, IEEE Computer Society, pp. 495-499, 2014 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2014, Ischia, Italy, 18/06/14. https://doi.org/10.1109/SPEEDAM.2014.6872122

Fuzzy clustering applied to a demand response model in a smart grid contingency scenario. / Pereira, R.; Melicio, R.; Mendes, V. M F et al.
2014 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2014. IEEE Computer Society, 2014. p. 495-499 6872122.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - This paper focus on a demand response model analysis in a smart grid context considering a contingency scenario. A fuzzy clustering technique is applied on the developed demand response model and an analysis is performed for the contingency scenario. Model considerations and architecture are described. The demand response developed model aims to support consumers decisions regarding their consumption needs and possible economic benefits.

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Y2 - 18 June 2014 through 20 June 2014

ER -

Fuzzy clustering applied to a demand response model in a smart grid contingency scenario

Abstract

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Keywords

UN SDGs

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