<?xml version="1.0" encoding="utf-8"?>
<TEI xmlns="http://www.tei-c.org/ns/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:hal="http://hal.archives-ouvertes.fr/" xmlns:gml="http://www.opengis.net/gml/3.3/" xmlns:gmlce="http://www.opengis.net/gml/3.3/ce" version="1.1" xsi:schemaLocation="http://www.tei-c.org/ns/1.0 http://api.archives-ouvertes.fr/documents/aofr-sword.xsd">
  <teiHeader>
    <fileDesc>
      <titleStmt>
        <title>HAL TEI export of hal-02069010</title>
      </titleStmt>
      <publicationStmt>
        <distributor>CCSD</distributor>
        <availability status="restricted">
          <licence target="https://creativecommons.org/publicdomain/zero/1.0/">CC0 1.0 - Universal</licence>
        </availability>
        <date when="2026-05-25T17:51:54+02:00"/>
      </publicationStmt>
      <sourceDesc>
        <p part="N">HAL API Platform</p>
      </sourceDesc>
    </fileDesc>
  </teiHeader>
  <text>
    <body>
      <listBibl>
        <biblFull>
          <titleStmt>
            <title xml:lang="en">Comparative Analysis of Adjustable Robust Optimization Alternatives for the Participation of Aggregated Residential Prosumers in Electricity Markets</title>
            <author role="aut">
              <persName>
                <forename type="first">Adrian Carlos</forename>
                <surname>Correa-Florez</surname>
              </persName>
              <email type="md5">b090c9fafebac8c1f34ecd6bcfc5fe88</email>
              <email type="domain">mines-paristech.fr</email>
              <idno type="idhal" notation="numeric">1006158</idno>
              <idno type="halauthorid" notation="string">1546359-1006158</idno>
              <orgName ref="#struct-301492"/>
              <affiliation ref="#struct-214579"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Andrea</forename>
                <surname>Michiorri</surname>
              </persName>
              <email type="md5">c6dcacadefef712ba860aa4728d51597</email>
              <email type="domain">mines-paristech.fr</email>
              <idno type="idhal" notation="string">andrea-michiorri</idno>
              <idno type="idhal" notation="numeric">11830</idno>
              <idno type="halauthorid" notation="string">19226-11830</idno>
              <idno type="RESEARCHERID">http://www.researcherid.com/rid/G-5321-2011</idno>
              <idno type="ORCID">https://orcid.org/0000-0002-8440-7128</idno>
              <idno type="IDREF">https://www.idref.fr/235735124</idno>
              <idno type="RESEARCHERID">http://www.researcherid.com/rid/http://www.researcherid.com/rid/G-5321-2011</idno>
              <affiliation ref="#struct-214579"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Georges</forename>
                <surname>Kariniotakis</surname>
              </persName>
              <email type="md5">3b40eb3ca0f7ea5d9fe93ddcadafe9dc</email>
              <email type="domain">minesparis.psl.eu</email>
              <idno type="idhal" notation="string">georges-kariniotakis</idno>
              <idno type="idhal" notation="numeric">11867</idno>
              <idno type="halauthorid" notation="string">22329-11867</idno>
              <idno type="RESEARCHERID">http://www.researcherid.com/rid/E-3507-2018</idno>
              <idno type="ORCID">https://orcid.org/0000-0002-5261-0172</idno>
              <idno type="GOOGLE SCHOLAR">https://scholar.google.fr/citations?user=zkvmPRQAAAAJ&amp;hl=fr</idno>
              <idno type="IDREF">https://www.idref.fr/118768484</idno>
              <idno type="RESEARCHERID">http://www.researcherid.com/rid/http://www.researcherid.com/rid/E-3507-2018</idno>
              <affiliation ref="#struct-214579"/>
            </author>
            <editor role="depositor">
              <persName>
                <forename>Georges</forename>
                <surname>Kariniotakis</surname>
              </persName>
              <email type="md5">3b40eb3ca0f7ea5d9fe93ddcadafe9dc</email>
              <email type="domain">minesparis.psl.eu</email>
            </editor>
            <funder ref="#projeurop-183540"/>
          </titleStmt>
          <editionStmt>
            <edition n="v1" type="current">
              <date type="whenSubmitted">2019-03-15 14:04:15</date>
              <date type="whenWritten">2019-03-15</date>
              <date type="whenModified">2026-02-07 05:16:15</date>
              <date type="whenReleased">2019-03-26 13:42:40</date>
              <date type="whenProduced">2019-03-15</date>
              <date type="whenEndEmbargoed">2019-03-15</date>
              <ref type="file" target="https://hal.science/hal-02069010v1/document">
                <date notBefore="2019-03-15"/>
              </ref>
              <ref type="file" subtype="greenPublisher" n="1" target="https://hal.science/hal-02069010v1/file/energies-12-01019.pdf" id="file-2069010-2080481">
                <date notBefore="2019-03-15"/>
              </ref>
              <ref type="externalLink" target="https://www.mdpi.com/1996-1073/12/6/1019/pdf"/>
            </edition>
            <respStmt>
              <resp>contributor</resp>
              <name key="92277">
                <persName>
                  <forename>Georges</forename>
                  <surname>Kariniotakis</surname>
                </persName>
                <email type="md5">3b40eb3ca0f7ea5d9fe93ddcadafe9dc</email>
                <email type="domain">minesparis.psl.eu</email>
              </name>
            </respStmt>
          </editionStmt>
          <publicationStmt>
            <distributor>CCSD</distributor>
            <idno type="halId">hal-02069010</idno>
            <idno type="halUri">https://hal.science/hal-02069010</idno>
            <idno type="halBibtex">correaflorez:hal-02069010</idno>
            <idno type="halRefHtml">&lt;i&gt;Energies&lt;/i&gt;, 2019, Special Issue: "Digital Solutions for Energy Management and Power Generation", 12 (6), pp.1-27. &lt;a target="_blank" href="https://dx.doi.org/10.3390/en12061019"&gt;&amp;#x27E8;10.3390/en12061019&amp;#x27E9;&lt;/a&gt;</idno>
            <idno type="halRef">Energies, 2019, Special Issue: "Digital Solutions for Energy Management and Power Generation", 12 (6), pp.1-27. &amp;#x27E8;10.3390/en12061019&amp;#x27E9;</idno>
            <availability status="restricted">
              <licence target="https://about.hal.science/hal-authorisation-v1/">HAL Authorization<ref corresp="#file-2069010-2080481"/></licence>
            </availability>
          </publicationStmt>
          <seriesStmt>
            <idno type="stamp" n="ENSMP" corresp="PARISTECH">MINES ParisTech</idno>
            <idno type="stamp" n="PARISTECH">ParisTech</idno>
            <idno type="stamp" n="OPENAIRE">OpenAIRE</idno>
            <idno type="stamp" n="PERSEE" corresp="ENSMP">Centre procédés, énergies renouvelables et systèmes énergétiques</idno>
            <idno type="stamp" n="TDS-MACS">Réseau de recherche en Théorie des Systèmes Distribués, Modélisation, Analyse et Contrôle des Systèmes</idno>
            <idno type="stamp" n="PSL">Université Paris sciences et lettres</idno>
            <idno type="stamp" n="ENSMP_DEP_EP" corresp="ENSMP">Département Énergétique et Procédés</idno>
            <idno type="stamp" n="ERSEI">Research Group ERSEI (Renewable Energies &amp; SmartGrids) at Centre PERSEE - MINES ParisTech/ARMINES</idno>
            <idno type="stamp" n="ENSMP_DR" corresp="ENSMP">ENSMP_DR</idno>
            <idno type="stamp" n="ENSMP-PSL" corresp="PSL">MINES ParisTech - École nationale supérieure des mines de Paris - PSL</idno>
            <idno type="stamp" n="ENSMP_PERSEE" corresp="ENSMP">Mines Paris, Université PSL, Centre Procédés Energies Renouvelables et Systèmes Energétiques (PERSEE), 06904 Sophia Antipolis, France</idno>
          </seriesStmt>
          <notesStmt>
            <note type="audience" n="2">International</note>
            <note type="popular" n="0">No</note>
            <note type="peer" n="1">Yes</note>
          </notesStmt>
          <sourceDesc>
            <biblStruct>
              <analytic>
                <title xml:lang="en">Comparative Analysis of Adjustable Robust Optimization Alternatives for the Participation of Aggregated Residential Prosumers in Electricity Markets</title>
                <author role="aut">
                  <persName>
                    <forename type="first">Adrian Carlos</forename>
                    <surname>Correa-Florez</surname>
                  </persName>
                  <email type="md5">b090c9fafebac8c1f34ecd6bcfc5fe88</email>
                  <email type="domain">mines-paristech.fr</email>
                  <idno type="idhal" notation="numeric">1006158</idno>
                  <idno type="halauthorid" notation="string">1546359-1006158</idno>
                  <orgName ref="#struct-301492"/>
                  <affiliation ref="#struct-214579"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Andrea</forename>
                    <surname>Michiorri</surname>
                  </persName>
                  <email type="md5">c6dcacadefef712ba860aa4728d51597</email>
                  <email type="domain">mines-paristech.fr</email>
                  <idno type="idhal" notation="string">andrea-michiorri</idno>
                  <idno type="idhal" notation="numeric">11830</idno>
                  <idno type="halauthorid" notation="string">19226-11830</idno>
                  <idno type="RESEARCHERID">http://www.researcherid.com/rid/G-5321-2011</idno>
                  <idno type="ORCID">https://orcid.org/0000-0002-8440-7128</idno>
                  <idno type="IDREF">https://www.idref.fr/235735124</idno>
                  <idno type="RESEARCHERID">http://www.researcherid.com/rid/http://www.researcherid.com/rid/G-5321-2011</idno>
                  <affiliation ref="#struct-214579"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Georges</forename>
                    <surname>Kariniotakis</surname>
                  </persName>
                  <email type="md5">3b40eb3ca0f7ea5d9fe93ddcadafe9dc</email>
                  <email type="domain">minesparis.psl.eu</email>
                  <idno type="idhal" notation="string">georges-kariniotakis</idno>
                  <idno type="idhal" notation="numeric">11867</idno>
                  <idno type="halauthorid" notation="string">22329-11867</idno>
                  <idno type="RESEARCHERID">http://www.researcherid.com/rid/E-3507-2018</idno>
                  <idno type="ORCID">https://orcid.org/0000-0002-5261-0172</idno>
                  <idno type="GOOGLE SCHOLAR">https://scholar.google.fr/citations?user=zkvmPRQAAAAJ&amp;hl=fr</idno>
                  <idno type="IDREF">https://www.idref.fr/118768484</idno>
                  <idno type="RESEARCHERID">http://www.researcherid.com/rid/http://www.researcherid.com/rid/E-3507-2018</idno>
                  <affiliation ref="#struct-214579"/>
                </author>
              </analytic>
              <monogr>
                <idno type="halJournalId" status="VALID">102843</idno>
                <idno type="issn">1996-1073</idno>
                <title level="j">Energies</title>
                <imprint>
                  <publisher>MDPI</publisher>
                  <biblScope unit="serie">Special Issue: "Digital Solutions for Energy Management and Power Generation"</biblScope>
                  <biblScope unit="volume">12</biblScope>
                  <biblScope unit="issue">6</biblScope>
                  <biblScope unit="pp">1-27</biblScope>
                  <date type="datePub">2019-03-15</date>
                  <date type="dateEpub">2019-03-15</date>
                </imprint>
              </monogr>
              <idno type="doi">10.3390/en12061019</idno>
            </biblStruct>
          </sourceDesc>
          <profileDesc>
            <langUsage>
              <language ident="en">English</language>
            </langUsage>
            <textClass>
              <keywords scheme="author">
                <term xml:lang="en">probabilistic forecasting</term>
                <term xml:lang="en">stochastic optimisation</term>
                <term xml:lang="en">smart homes</term>
                <term xml:lang="en">uncertainty</term>
                <term xml:lang="en">robust optimization</term>
                <term xml:lang="en">storage</term>
                <term xml:lang="en">aggregators</term>
                <term xml:lang="en">prosumers</term>
              </keywords>
              <classCode scheme="halDomain" n="spi.nrj">Engineering Sciences [physics]/Electric power</classCode>
              <classCode scheme="halDomain" n="stat.ml">Statistics [stat]/Machine Learning [stat.ML]</classCode>
              <classCode scheme="halDomain" n="stat.ap">Statistics [stat]/Applications [stat.AP]</classCode>
              <classCode scheme="halDomain" n="math.math-oc">Mathematics [math]/Optimization and Control [math.OC]</classCode>
              <classCode scheme="halDomain" n="math.math-pr">Mathematics [math]/Probability [math.PR]</classCode>
              <classCode scheme="halDomain" n="math.math-st">Mathematics [math]/Statistics [math.ST]</classCode>
              <classCode scheme="halTypology" n="ART">Journal articles</classCode>
              <classCode scheme="halOldTypology" n="ART">Journal articles</classCode>
              <classCode scheme="halTreeTypology" n="ART">Journal articles</classCode>
            </textClass>
            <abstract xml:lang="en">
              <p>Active participation of end users in energy markets is identified as one of the major challenges in the energy transition context. One option to bridge the gap between customers and the market is aggregators of smart homes or buildings. This paper presents an optimization model from the standpoint of an aggregator of residential prosumers who have PV panels, electric water heaters, and batteries installed at home level. This aggregator participates in the day-ahead energy market to minimize operation costs by controlling the settings of flexible devices. Given that energy prices, PV production, and demand have uncertain behavior, appropriate models should be used to include these effects. In the present work, Adjustable Robust Optimization (ARO) is used to include uncertainty in the optimization model, and a comparative study of modifications to this formulation is carried out to determine its potential and limitations. The comparative analysis is performed from the point of view of average cost and risk, after performing Monte Carlo simulation. Simulations show the advantages of using an ARO framework when compared to deterministic approaches and also allow us to conclude about the advantages of using the proposed alternative formulation to find more attractive solutions for an aggregator.</p>
            </abstract>
          </profileDesc>
        </biblFull>
      </listBibl>
    </body>
    <back>
      <listOrg type="structures">
        <org type="laboratory" xml:id="struct-214579" status="VALID">
          <idno type="IdRef">176769536</idno>
          <idno type="ROR">https://ror.org/01ydp2x12</idno>
          <orgName>Centre Procédés, Énergies Renouvelables, Systèmes Énergétiques</orgName>
          <orgName type="acronym">PERSEE</orgName>
          <date type="start">2013-01-01</date>
          <desc>
            <address>
              <addrLine>CS 10207 rue Claude Daunesse 06904 Sophia Antipolis Cedex</addrLine>
              <country key="FR"/>
            </address>
          </desc>
          <listRelation>
            <relation active="#struct-301492" type="direct"/>
            <relation active="#struct-564132" type="indirect"/>
          </listRelation>
        </org>
        <org type="institution" xml:id="struct-301492" status="VALID">
          <idno type="IdRef">026375249</idno>
          <idno type="ROR">https://ror.org/04y8cs423</idno>
          <orgName>Mines Paris - PSL (École nationale supérieure des mines de Paris)</orgName>
          <date type="start">1783-01-01</date>
          <desc>
            <address>
              <addrLine>60, boulevard Saint-Michel 75006 Paris</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.minesparis.psl.eu/</ref>
          </desc>
          <listRelation>
            <relation active="#struct-564132" type="direct"/>
          </listRelation>
        </org>
        <org type="regroupinstitution" xml:id="struct-564132" status="VALID">
          <idno type="IdRef">241597595</idno>
          <idno type="ISNI">0000 0004 1784 3645</idno>
          <idno type="ROR">https://ror.org/013cjyk83</idno>
          <orgName>Université Paris Sciences et Lettres</orgName>
          <orgName type="acronym">PSL</orgName>
          <desc>
            <address>
              <addrLine>60 rue Mazarine 75006 Paris</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.psl.eu/</ref>
          </desc>
        </org>
      </listOrg>
      <listOrg type="projects">
        <org type="europeanProject" xml:id="projeurop-183540" status="VALID">
          <idno type="number">645963</idno>
          <idno type="program">H2020-LCE-2014-2015</idno>
          <idno type="call">H2020-LCE-2014-3</idno>
          <orgName>SENSIBLE</orgName>
          <desc>Storage-Enabled Sustainable Energy for Buildings and Communities</desc>
          <date type="start">2015-01-01</date>
          <date type="end">2018-12-31</date>
        </org>
      </listOrg>
    </back>
  </text>
</TEI>