Publication
Real-Time Approach for Demand Response Tariffs Definition Using Decision Trees
| dc.contributor.author | Silva, Cátia | |
| dc.contributor.author | Faria, Pedro | |
| dc.contributor.author | Vale, Zita | |
| dc.date.accessioned | 2021-09-22T14:18:45Z | |
| dc.date.available | 2021-09-22T14:18:45Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | Giving the small resources more information about the transactions in the market will have a great influence on the balance and increase the uncertainty. Business models that are prepared to deal with small consumers and/or with small Distributed Generation units need to emerge to deal with this problem. The authors present a methodology able to minimize the operation costs for the Aggregator of these small resources but also find a fair remuneration according to their participation in the management of the local grid. The methodology could be explored by two approaches depending on time horizon: planning or operation. In the present paper, the two will be compared showing the viability of the path selected by the authors for the real-time approach - assign a remuneration group to a consumer considering the actual participation and the rules provided by a classification method. | pt_PT |
| dc.description.sponsorship | The present work was done and funded in the scope of the following projects: MAS-Socety Project, CEECIND/02887/2017, SFRH/BD/144200/2019, and UID/EEA/00760/2019 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/ISAP48318.2019.9065969 | pt_PT |
| dc.identifier.isbn | 978-1-7281-3192-4 | |
| dc.identifier.uri | http://hdl.handle.net/10400.22/18481 | |
| dc.language.iso | eng | pt_PT |
| dc.publisher | IEEE | pt_PT |
| dc.relation | Effective DR gathering and deployment for intensive renewable integration using aggregation and machine learning | |
| dc.relation | Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development | |
| dc.relation.publisherversion | https://ieeexplore.ieee.org/document/9065969 | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | pt_PT |
| dc.subject | Aggregation | pt_PT |
| dc.subject | Business Model | pt_PT |
| dc.subject | Classification | pt_PT |
| dc.subject | Decision Trees | pt_PT |
| dc.subject | Demand Response | pt_PT |
| dc.title | Real-Time Approach for Demand Response Tariffs Definition Using Decision Trees | pt_PT |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Effective DR gathering and deployment for intensive renewable integration using aggregation and machine learning | |
| oaire.awardTitle | Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F144200%2F2019/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FEEA%2F00760%2F2019/PT | |
| oaire.citation.conferencePlace | New Delhi, India | pt_PT |
| oaire.citation.endPage | 6 | pt_PT |
| oaire.citation.startPage | 1 | pt_PT |
| oaire.citation.title | 2019 20th International Conference on Intelligent System Application to Power Systems (ISAP) | pt_PT |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| person.familyName | Silva | |
| person.familyName | Faria | |
| person.familyName | Vale | |
| person.givenName | Cátia | |
| person.givenName | Pedro | |
| person.givenName | Zita | |
| person.identifier | 632184 | |
| person.identifier.ciencia-id | 5318-DCFD-218D | |
| person.identifier.ciencia-id | B212-2309-F9C3 | |
| person.identifier.ciencia-id | 721B-B0EB-7141 | |
| person.identifier.orcid | 0000-0001-8306-4568 | |
| 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/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
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