Publication
Using clustering techniques to provide simulation scenarios for the smart grid
| dc.contributor.author | Miguel, Pedro | |
| dc.contributor.author | Gonçalves, José | |
| dc.contributor.author | Pires Neves, Luís | |
| dc.contributor.author | Martins, A. Gomes | |
| dc.date.accessioned | 2025-05-20T14:22:15Z | |
| dc.date.available | 2025-05-20T14:22:15Z | |
| dc.date.issued | 2016-10 | |
| dc.description.abstract | tThe objective of this work is to obtain characteristic daily profiles of consumption, wind generationand electricity spot prices, needed to develop assessments of two different options commonly regardedunder the smart grid paradigm: residential demand response, and small scale distributed electric energystorage. The approach consists of applying clustering algorithms to historical data, namely using a hierar-chical method and a self-organizing neural network, in order to obtain clusters of diagrams representingcharacteristic daily diagrams of load, wind generation or electricity price. These diagrams are useful notonly to analyze different scenarios of combined existence, but also to understand their individual relativeimportance. This study enabled also the identification of a probable range of variation around an averageprofile, by defining boundary profiles with the maximum and minimum values of any cluster prototypes. | eng |
| dc.description.sponsorship | This work has been framed under the Energy for Sustainability Initiative of the University of Coimbra and supported by the Energy and Mobility for Sustainable Regions Project CENTRO-07-0224-FEDER-002004, co-funded by the European Regional DevelopmentFund (ERDF) through the “Programa Operacional Regional doCentro 2007 − 2013 (PORC)”, in the framework of the “Sistema de Apoio a Entidades do Sistema Científico e Tecnológico Nacional”, and by the «Fundação para a Ciência e Tecnologia». Thework was also funded by the “Fundação para a Ciência e Tecnologia” under PEst-OE/EEI/UI0308/2014 and under project grant UID/MULTI/00308/2013. | |
| dc.identifier.citation | Pedro Miguel, José Gonçalves, Luís Neves, A.Gomes Martins, Using clustering techniques to provide simulation scenarios for the smart grid, Sustainable Cities and Society, Volume 26, 2016, Pages 447-455, ISSN 2210-6707, https://doi.org/10.1016/j.scs.2016.04.012. (https://www.sciencedirect.com/science/article/pii/S2210670716300658) | |
| dc.identifier.doi | 10.1016/j.scs.2016.04.012 | |
| dc.identifier.issn | 2210-6707 | |
| dc.identifier.uri | http://hdl.handle.net/10400.8/12942 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | Elsevier BV | |
| dc.relation.hasversion | https://www.sciencedirect.com/science/article/pii/S2210670716300658 | |
| dc.relation.ispartof | Sustainable Cities and Society | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | |
| dc.subject | Data clustering | |
| dc.subject | Demand response | |
| dc.subject | Energy box | |
| dc.subject | Energy storage | |
| dc.subject | Smart grid | |
| dc.subject | Distribution system operator | |
| dc.title | Using clustering techniques to provide simulation scenarios for the smart grid | eng |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 455 | |
| oaire.citation.startPage | 447 | |
| oaire.citation.title | Sustainable Cities and Society | |
| oaire.citation.volume | 26 | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Pires Neves | |
| person.givenName | Luís | |
| person.identifier.ciencia-id | 591E-30D4-2C97 | |
| person.identifier.orcid | 0000-0002-2600-5622 | |
| person.identifier.scopus-author-id | 34977315800 | |
| relation.isAuthorOfPublication | 5315d446-6d51-4d95-aeaa-72b6a44a4838 | |
| relation.isAuthorOfPublication.latestForDiscovery | 5315d446-6d51-4d95-aeaa-72b6a44a4838 |