{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,24]],"date-time":"2025-09-24T09:26:21Z","timestamp":1758705981724,"version":"3.37.3"},"reference-count":27,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2018,7,26]],"date-time":"2018-07-26T00:00:00Z","timestamp":1532563200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","doi-asserted-by":"publisher","award":["GECAD"],"award-info":[{"award-number":["GECAD"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010665","name":"H2020 Marie Sk\u0142odowska-Curie Actions","doi-asserted-by":"publisher","award":["DREAM-GO"],"award-info":[{"award-number":["DREAM-GO"]}],"id":[{"id":"10.13039\/100010665","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Energy Inform"],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1186\/s42162-018-0006-6","type":"journal-article","created":{"date-parts":[[2018,7,23]],"date-time":"2018-07-23T07:38:42Z","timestamp":1532331522000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Application of an optimization-based curtailment service provider in real-time simulation"],"prefix":"10.1186","volume":"1","author":[{"given":"Omid","family":"Abrishambaf","sequence":"first","affiliation":[]},{"given":"Pedro","family":"Faria","sequence":"additional","affiliation":[]},{"given":"Zita","family":"Vale","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,7,26]]},"reference":[{"issue":"6","key":"6_CR1","doi-asserted-by":"publisher","first-page":"806","DOI":"10.3390\/en10060806","volume":"10","author":"O Abrishambaf","year":"2017","unstructured":"Abrishambaf O, Faria P, Gomes L, Sp\u00ednola J, Vale Z, Corchado J (2017) Implementation of a real-time microgrid simulation platform based on centralized and distributed management. Energies 10(6):806\u2013820","journal-title":"Energies"},{"key":"6_CR2","doi-asserted-by":"crossref","unstructured":"Abrishambaf O, Gomes L, Faria P, Vale Z (2015) Simulation and control of consumption and generation of hardware resources in microgrid real-time digital simulator. Paper presented at IEEE PES innovative smart grid technologies Latin America (ISGT LATAM), Montevideo, 5\u20137","DOI":"10.1109\/ISGT-LA.2015.7381258"},{"key":"6_CR3","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1016\/j.rser.2012.09.019","volume":"18","author":"J Aghaei","year":"2013","unstructured":"Aghaei J, Alizadeh M (2013) Demand response in smart electricity grids equipped with renewable energy sources: a review. Renew Sust Energ Rev 18:64\u201372","journal-title":"Renew Sust Energ Rev"},{"issue":"9","key":"6_CR4","doi-asserted-by":"publisher","first-page":"6960","DOI":"10.1109\/TIE.2017.2688969","volume":"64","author":"F Alvarez-Gonzalez","year":"2017","unstructured":"Alvarez-Gonzalez F, Griffo A, Sen B, Wang J (2017) Real-time hardware-in-the-loop simulation of permanent-magnet synchronous motor drives under Stator faults. IEEE Trans Ind Electron 64(9):6960\u20136969","journal-title":"IEEE Trans Ind Electron"},{"key":"6_CR5","doi-asserted-by":"crossref","unstructured":"Bakr S, Cranefield S (2015) Using the Shapley value for fair consumer compensation in energy demand response programs: comparing algorithms. Paper presented at IEEE International Conference on Data Science and Data Intensive Systems, Sydney, 11\u201313","DOI":"10.1109\/DSDIS.2015.83"},{"key":"6_CR6","doi-asserted-by":"publisher","first-page":"780","DOI":"10.1016\/j.egypro.2017.03.240","volume":"111","author":"L Bottaccioli","year":"2017","unstructured":"Bottaccioli L, Estebsari A, Patti E, Pons E, Acquaviva A (2017a) A novel integrated real-time simulation platform for assessing photovoltaic penetration impacts in smart grids. Energy Procedia 111:780\u2013789","journal-title":"Energy Procedia"},{"issue":"6","key":"6_CR7","doi-asserted-by":"publisher","first-page":"3265","DOI":"10.1109\/TII.2017.2702206","volume":"13","author":"L Bottaccioli","year":"2017","unstructured":"Bottaccioli L, Estebsari A, Pons E, Bompard E, Macii E, Patti E, Acquaviva A (2017b) A flexible distributed infrastructure for real-time Cosimulations in smart grids. IEEE Trans Industr Inform 13(6):3265\u20133274","journal-title":"IEEE Trans Industr Inform"},{"key":"6_CR8","doi-asserted-by":"crossref","unstructured":"Falvo M, Graditi G, Siano P (2014) Electric vehicles integration in demand response programs. Paper presented at 2014 International Symposium On Power Electronics, Electrical Drives, Automation And Motion, Ischia, Italy, 18\u201320","DOI":"10.1109\/SPEEDAM.2014.6872126"},{"key":"6_CR9","doi-asserted-by":"crossref","unstructured":"Faria P, Vale Z (2013) Demand response programs definition using demand price elasticity to define consumers aggregation for an improved remuneration structure. Paper presented at IEEE PES ISGT Europe, Lyngby, 6\u20139","DOI":"10.1109\/ISGTEurope.2013.6695365"},{"key":"6_CR10","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1016\/j.enconman.2015.01.028","volume":"93","author":"P Faria","year":"2015","unstructured":"Faria P, Vale Z, Baptista J (2015) Constrained consumption shifting management in the distributed energy resources scheduling considering demand response. Energy Convers Manag 93:309\u2013320","journal-title":"Energy Convers Manag"},{"issue":"7","key":"6_CR11","doi-asserted-by":"publisher","first-page":"1247","DOI":"10.1109\/JSAC.2013.130708","volume":"31","author":"L Gkatzikis","year":"2013","unstructured":"Gkatzikis L, Koutsopoulos I, Salonidis T (2013) The role of aggregators in smart grid demand response markets. IEEE J Sel Areas Commun 31(7):1247\u20131257","journal-title":"IEEE J Sel Areas Commun"},{"key":"6_CR12","first-page":"20","volume-title":"Can demand response receive comparable treatment to traditional generation?","author":"T Hillman","year":"2011","unstructured":"Hillman T (2011) Can demand response receive comparable treatment to traditional generation? 2011 IEEE\/PES Power Systems Conference and Exposition, Phoenix, pp 20\u201323"},{"issue":"1","key":"6_CR13","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1109\/TII.2017.2753408","volume":"14","author":"L Hurtado","year":"2018","unstructured":"Hurtado L, Mocanu E, Nguyen P, Gibescu M, Kamphuis R (2018) Enabling cooperative behavior for building demand response based on extended joint action learning. IEEE Trans Industr Inform 14(1):127\u2013136","journal-title":"IEEE Trans Industr Inform"},{"issue":"1","key":"6_CR14","doi-asserted-by":"publisher","first-page":"6761","DOI":"10.1016\/j.ifacol.2017.08.1193","volume":"50","author":"K Khezeli","year":"2017","unstructured":"Khezeli K, Lin W, Bitar E (2017) Learning to buy (and sell) demand response. IFAC-Papers Online 50(1):6761\u20136767","journal-title":"IFAC-Papers Online"},{"key":"6_CR15","doi-asserted-by":"crossref","unstructured":"Li C, Chen Y, Luo F, Xu Z, Zheng Y (2017) Real-time decision making model for thermostatically controlled load aggregators by natural aggregation algorithm. Paper presented at IEEE International Conference On Energy Internet (ICEI), Beijing, 17\u201321","DOI":"10.1109\/ICEI.2017.56"},{"issue":"5","key":"6_CR16","doi-asserted-by":"publisher","first-page":"3666","DOI":"10.1109\/TIE.2017.2760844","volume":"65","author":"C Mao","year":"2018","unstructured":"Mao C, Leng F, Li J, Zhang S, Zhang L, Mo R, Wang D, Zeng J, Chen X, An R, Zhao Y (2018) A 400-V\/50-kVA digital\u2013physical hybrid real-time simulation platform for power systems. IEEE Trans Ind Electron 65(5):3666\u20133676","journal-title":"IEEE Trans Ind Electron"},{"key":"6_CR17","doi-asserted-by":"crossref","unstructured":"Marulanda G, Valenzuela J, Salazar H (2014) An assessment of the impact of a demand response program on the Colombian day-ahead electricity market. Paper presented at IEEE PES Transmission & Distribution Conference and Exposition - Latin America (PES T&D-LA), Medellin, 10\u201313","DOI":"10.1109\/TDC-LA.2014.6955253"},{"key":"6_CR18","unstructured":"ISEP Meteo (2017) \n                    http:\/\/meteo.isep.ipp.pt\/weather\/index.html\n                    \n                  . Accessed 19 Dec 2017"},{"issue":"6","key":"6_CR19","doi-asserted-by":"publisher","first-page":"5155","DOI":"10.1109\/TIA.2017.2740832","volume":"53","author":"H Mortaji","year":"2017","unstructured":"Mortaji H, Hock Ow S, Moghavvemi M, Almurib H (2017) Load shedding and smart-direct load control using internet of things in smart grid demand response management. IEEE Trans Ind Appl 53(6):5155\u20135163","journal-title":"IEEE Trans Ind Appl"},{"issue":"4","key":"6_CR20","doi-asserted-by":"publisher","first-page":"1905","DOI":"10.1109\/TSG.2013.2295514","volume":"5","author":"D Olivares","year":"2014","unstructured":"Olivares D, Mehrizi-Sani A, Etemadi A, Canizares C, Iravani R, Kazerani M et al (2014) Trends in microgrid control. IEEE Trans Smart Grid 5(4):1905\u20131919","journal-title":"IEEE Trans Smart Grid"},{"key":"6_CR21","doi-asserted-by":"publisher","first-page":"871","DOI":"10.1016\/j.rser.2016.11.167","volume":"69","author":"N Paterakis","year":"2017","unstructured":"Paterakis N, Erdin\u00e7 O, Catal\u00e3o J (2017) An overview of demand response: key-elements and international experience. Renew Sust Energ Rev 69:871\u2013891","journal-title":"Renew Sust Energ Rev"},{"issue":"1","key":"6_CR22","doi-asserted-by":"publisher","first-page":"397","DOI":"10.1007\/s00202-016-0438-6","volume":"99","author":"S Reddy","year":"2016","unstructured":"Reddy S (2016) Optimizing energy and demand response programs using multi-objective optimization. Electr Eng 99(1):397\u2013406","journal-title":"Electr Eng"},{"key":"6_CR23","doi-asserted-by":"crossref","unstructured":"Rotger-Griful S, Chatzivasileiadis S, Jacobsen R, Stewart E, Domingo J, Wetter M (2016) Hardware-in-the-loop co-simulation of distribution grid for demand response. Paper presented at Power Systems Computation Conference (PSCC), Genoa, 20\u201324","DOI":"10.1109\/PSCC.2016.7540828"},{"key":"6_CR24","doi-asserted-by":"publisher","first-page":"343","DOI":"10.1016\/j.rser.2015.01.062","volume":"45","author":"F Shariatzadeh","year":"2015","unstructured":"Shariatzadeh F, Mandal P, Srivastava A (2015) Demand response for sustainable energy systems: a review, application and implementation strategy. Renew Sust Energ Rev 45:343\u2013350","journal-title":"Renew Sust Energ Rev"},{"key":"6_CR25","doi-asserted-by":"publisher","first-page":"461","DOI":"10.1016\/j.rser.2013.10.022","volume":"30","author":"P Siano","year":"2017","unstructured":"Siano P (2017) Demand response and smart grids\u2014a survey. Renew Sust Energ Rev 30:461\u2013478","journal-title":"Renew Sust Energ Rev"},{"key":"6_CR26","doi-asserted-by":"crossref","unstructured":"Silva M, Fernandes F, Morais H, Ramos S, Vale Z (2015) Hour-ahead energy resource management in university campus microgrid. Paper presented at IEEE Eindhoven Powertech, Eindhoven, 29 June-2 July 20","DOI":"10.1109\/PTC.2015.7232449"},{"key":"6_CR27","doi-asserted-by":"publisher","first-page":"695","DOI":"10.1016\/j.apenergy.2014.10.048","volume":"138","author":"Q Wang","year":"2015","unstructured":"Wang Q, Zhang C, Ding Y, Xydis G, Wang J, \u00d8stergaard J (2015) Review of real-time electricity markets for integrating distributed energy resources and demand response. Appl Energy 138:695\u2013706","journal-title":"Appl Energy"}],"container-title":["Energy Informatics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s42162-018-0006-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/s42162-018-0006-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s42162-018-0006-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,22]],"date-time":"2019-09-22T11:38:33Z","timestamp":1569152313000},"score":1,"resource":{"primary":{"URL":"https:\/\/energyinformatics.springeropen.com\/articles\/10.1186\/s42162-018-0006-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7,26]]},"references-count":27,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2018,12]]}},"alternative-id":["6"],"URL":"https:\/\/doi.org\/10.1186\/s42162-018-0006-6","relation":{},"ISSN":["2520-8942"],"issn-type":[{"type":"electronic","value":"2520-8942"}],"subject":[],"published":{"date-parts":[[2018,7,26]]},"assertion":[{"value":"10 January 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 June 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 July 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Not applicable.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare that they have no competing interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Publisher\u2019s Note"}}],"article-number":"3"}}