Publication
Economic Impact of Demand Response in the Scheduling of Distributed Energy Resources
| dc.contributor.author | Spinola, Joao | |
| dc.contributor.author | Faria, Pedro | |
| dc.contributor.author | Vale, Zita | |
| dc.date.accessioned | 2021-03-09T14:51:40Z | |
| dc.date.available | 2021-03-09T14:51:40Z | |
| dc.date.issued | 2015 | |
| dc.description.abstract | Demand Response (DR) allows consumers to participate in energy markets, thus assuming an active role. However, the need of an aggregator capable of managing these resources and making decisions accordingly with the objectives of such resources has not been fully addressed. The aggregator activities are complex, and therefore, in the need of intelligent support to accomplish reasonable solutions. This paper proposes a methodology to evaluate the advantages of using DR programs in the resource rescheduling while classification and regression trees are introduced to support the aggregator in terms of scheduling and tariffs definition. Often these techniques are used to help the aggregator decide, as they also learn through training. Focus is given to the use of trees to predict and decide, the consumers' prices and reduction levels to apply, respectively. The case study has 548 distributed generators, 10 external suppliers and 20310 consumers | pt_PT |
| dc.description.sponsorship | The present work was done and funded in the scope of the following projects: EUREKA - ITEA2 Project SEAS with project number 12004; ELECON Project, REA grant agreement No 318912 (FP7 PIRSES-GA-2012- 318912); H2020 DREAM-GO Project (Marie Sklodowska-Curie grant agreement No 641794); and UID/EEA/00760/2013 funded by FEDER Funds through COMPETE program and by National Funds through FCT. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.doi | 10.1109/SSCI.2015.218 | pt_PT |
| dc.identifier.isbn | 978-1-4799-7560-0 | |
| dc.identifier.uri | http://hdl.handle.net/10400.22/17337 | |
| dc.language.iso | eng | pt_PT |
| dc.publisher | IEEE | pt_PT |
| dc.relation | Electricity Consumption Analysis to Promote Energy Efficiency Considering Demand Response and Non-technical Losses | |
| dc.relation | Enabling Demand Response for short and real-time Efficient And Market Based smart Grid Operation - An intelligent and real-time simulation approach | |
| dc.relation.publisherversion | https://ieeexplore.ieee.org/document/7376794 | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | pt_PT |
| dc.subject | Demand response | pt_PT |
| dc.subject | Energy markets | pt_PT |
| dc.subject | Regression trees | pt_PT |
| dc.subject | Consumer prices | pt_PT |
| dc.title | Economic Impact of Demand Response in the Scheduling of Distributed Energy Resources | pt_PT |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Electricity Consumption Analysis to Promote Energy Efficiency Considering Demand Response and Non-technical Losses | |
| oaire.awardTitle | Enabling Demand Response for short and real-time Efficient And Market Based smart Grid Operation - An intelligent and real-time simulation approach | |
| oaire.awardURI | info:eu-repo/grantAgreement/EC/FP7/318912/EU | |
| oaire.awardURI | info:eu-repo/grantAgreement/EC/H2020/641794/EU | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/5876/UID%2FEEA%2F00760%2F2013/PT | |
| oaire.citation.conferencePlace | Cape Town, South Africa | pt_PT |
| oaire.citation.endPage | 1552 | pt_PT |
| oaire.citation.startPage | 1545 | pt_PT |
| oaire.citation.title | 2015 IEEE Symposium Series on Computational Intelligence | pt_PT |
| oaire.fundingStream | FP7 | |
| oaire.fundingStream | H2020 | |
| oaire.fundingStream | 5876 | |
| person.familyName | Faria | |
| person.familyName | Vale | |
| person.givenName | Pedro | |
| person.givenName | Zita | |
| person.identifier | 632184 | |
| person.identifier.ciencia-id | B212-2309-F9C3 | |
| person.identifier.ciencia-id | 721B-B0EB-7141 | |
| person.identifier.orcid | 0000-0002-5982-8342 | |
| person.identifier.orcid | 0000-0002-4560-9544 | |
| person.identifier.rid | A-5824-2012 | |
| person.identifier.scopus-author-id | 7004115775 | |
| project.funder.identifier | http://doi.org/10.13039/501100008530 | |
| project.funder.identifier | http://doi.org/10.13039/501100008530 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | European Commission | |
| project.funder.name | European Commission | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
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