{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T11:42:02Z","timestamp":1743075722852,"version":"3.40.3"},"publisher-location":"Cham","reference-count":31,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030763091"},{"type":"electronic","value":"9783030763107"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-76310-7_20","type":"book-chapter","created":{"date-parts":[[2021,5,11]],"date-time":"2021-05-11T20:03:07Z","timestamp":1620763387000},"page":"253-267","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Simulation-Optimization Approach for the Household Energy Planning Problem Considering Uncertainty in Users Preferences"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8531-445X","authenticated-orcid":false,"given":"Diego Gabriel","family":"Rossit","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8146-4012","authenticated-orcid":false,"given":"Sergio","family":"Nesmachnow","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1152-0346","authenticated-orcid":false,"given":"Jamal","family":"Toutouh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0455-7223","authenticated-orcid":false,"given":"Francisco","family":"Luna","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,5,12]]},"reference":[{"key":"20_CR1","doi-asserted-by":"publisher","first-page":"318","DOI":"10.1016\/j.rser.2015.01.046","volume":"45","author":"M Beaudin","year":"2015","unstructured":"Beaudin, M., Zareipour, H.: Home energy management systems: a review of modelling and complexity. Renew. Sustain. Energy Rev. 45, 318\u2013335 (2015)","journal-title":"Renew. Sustain. Energy Rev."},{"key":"20_CR2","unstructured":"Beeson, R.: Optimization with respect to multiple criteria. Ph.D. thesis, University of Southern California, Los \u00c1ngeles, United States of America, June 1972"},{"key":"20_CR3","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1016\/j.rser.2015.10.133","volume":"55","author":"C Calvillo","year":"2016","unstructured":"Calvillo, C., S\u00e1nchez-Miralles, A., Villar, J.: Energy management and planning in smart cities. Renew. Sustain. Energy Rev. 55, 273\u2013287 (2016)","journal-title":"Renew. Sustain. Energy Rev."},{"key":"20_CR4","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1007\/978-3-030-38889-8_5","volume-title":"Smart Cities","author":"J Chavat","year":"2020","unstructured":"Chavat, J., Graneri, J., Nesmachnow, S.: Household energy disaggregation based on pattern consumption similarities. In: Nesmachnow, S., Hern\u00e1ndez Callejo, L. (eds.) ICSC-CITIES 2019. CCIS, vol. 1152, pp. 54\u201369. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-38889-8_5"},{"key":"20_CR5","doi-asserted-by":"crossref","unstructured":"Chavat, J., Nesmachnow, S., Graneri, J.: Non-intrusive energy disaggregation by detecting similarities in consumption patterns. Revista Facultad de Ingenier\u00eda Universidad de Antioquia (2020)","DOI":"10.17533\/udea.redin.20200370"},{"issue":"2","key":"20_CR6","doi-asserted-by":"publisher","first-page":"932","DOI":"10.1109\/TSG.2012.2226065","volume":"4","author":"X Chen","year":"2013","unstructured":"Chen, X., Wei, T., Hu, S.: Uncertainty-aware household appliance scheduling considering dynamic electricity pricing in smart home. IEEE Trans. Smart Grid 4(2), 932\u2013941 (2013)","journal-title":"IEEE Trans. Smart Grid"},{"key":"20_CR7","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1007\/978-3-030-38889-8_21","volume-title":"Smart Cities","author":"G Colacurcio","year":"2020","unstructured":"Colacurcio, G., Nesmachnow, S., Toutouh, J., Luna, F., Rossit, D.: Multiobjective household energy planning using evolutionary algorithms. In: Nesmachnow, S., Hern\u00e1ndez Callejo, L. (eds.) ICSC-CITIES 2019. CCIS, vol. 1152, pp. 269\u2013284. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-38889-8_21"},{"issue":"3","key":"20_CR8","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1109\/MPE.2010.936351","volume":"8","author":"M Goldberg","year":"2010","unstructured":"Goldberg, M.: Measure twice, cut once. IEEE Power Energ. Mag. 8(3), 46\u201354 (2010)","journal-title":"IEEE Power Energ. Mag."},{"key":"20_CR9","unstructured":"Gurobi Optimization, LLC: Gurobi Optimizer Reference Manual (2020). http:\/\/www.gurobi.com"},{"issue":"4","key":"20_CR10","doi-asserted-by":"publisher","first-page":"906","DOI":"10.1002\/pam.21928","volume":"35","author":"M Harding","year":"2016","unstructured":"Harding, M., Lamarche, C.: Empowering consumers through data and smart technology: experimental evidence on the consequences of time-of-use electricity pricing policies. J. Policy Anal. Manage. 35(4), 906\u2013931 (2016)","journal-title":"J. Policy Anal. Manage."},{"key":"20_CR11","doi-asserted-by":"publisher","unstructured":"Hart, W., et al.: Pyomo-optimization modeling in Python, vol. 67. Springer Science & Business Media, 2 edn. (2017). https:\/\/doi.org\/10.1007\/978-3-319-58821-6","DOI":"10.1007\/978-3-319-58821-6"},{"key":"20_CR12","doi-asserted-by":"publisher","first-page":"290","DOI":"10.1016\/j.enbuild.2017.07.043","volume":"152","author":"R Hemmati","year":"2017","unstructured":"Hemmati, R., Saboori, H.: Stochastic optimal battery storage sizing and scheduling in home energy management systems equipped with solar photovoltaic panels. Energy Buil. 152, 290\u2013300 (2017)","journal-title":"Energy Buil."},{"key":"20_CR13","doi-asserted-by":"crossref","unstructured":"Jacomino, M., Le, M.: Robust energy planning in buildings with energy and comfort costs. 4OR 10(1), 81\u2013103 (2012)","DOI":"10.1007\/s10288-011-0192-6"},{"issue":"2","key":"20_CR14","doi-asserted-by":"publisher","first-page":"479","DOI":"10.1137\/S1052623499363220","volume":"12","author":"A Kleywegt","year":"2002","unstructured":"Kleywegt, A., Shapiro, A., Homem-de Mello, T.: The sample average approximation method for stochastic discrete optimization. SIAM J. Optim. 12(2), 479\u2013502 (2002)","journal-title":"SIAM J. Optim."},{"key":"20_CR15","unstructured":"Kolter, J., Johnson, M.: Redd: A public data set for energy disaggregation research. Workshop on data mining applications in sustainability, San Diego, CA. 25, 59\u201362 (2011)"},{"key":"20_CR16","doi-asserted-by":"crossref","unstructured":"Koutsopoulos, I., Tassiulas, L.: Control and optimization meet the smart power grid: scheduling of power demands for optimal energy management. In: Proceedings of the 2nd International Conference on Energy-efficient Computing and Networking, pp. 41\u201350 (2011)","DOI":"10.1145\/2318716.2318723"},{"issue":"4","key":"20_CR17","doi-asserted-by":"publisher","first-page":"2027","DOI":"10.3390\/en7042027","volume":"7","author":"H Liang","year":"2014","unstructured":"Liang, H., Zhuang, W.: Stochastic modeling and optimization in a microgrid: a survey. Energies 7(4), 2027\u20132050 (2014)","journal-title":"Energies"},{"key":"20_CR18","doi-asserted-by":"publisher","first-page":"757","DOI":"10.1016\/j.jclepro.2018.08.301","volume":"203","author":"X Lu","year":"2018","unstructured":"Lu, X., Zhou, K., Zhang, X., Yang, S.: A systematic review of supply and demand side optimal load scheduling in a smart grid environment. J. Clean. Prod. 203, 757\u2013768 (2018)","journal-title":"J. Clean. Prod."},{"key":"20_CR19","first-page":"41","volume":"97","author":"E Luj\u00e1n","year":"2019","unstructured":"Luj\u00e1n, E., Otero, A.D., Valenzuela, S., Mocskos, E., Steffenel, A., Nesmachnow, S.: An integrated platform for smart energy management: the CC-SEM project. Revista Facultad de Ingenier\u00eda, Universidad de Antioquia 97, 41\u201355 (2019)","journal-title":"Revista Facultad de Ingenier\u00eda, Universidad de Antioquia"},{"key":"20_CR20","doi-asserted-by":"crossref","unstructured":"Nesmachnow, S., Colacurcio, G., Rossit, D., Toutouh, J., Luna, F.: Optimizing household energy planning in smart cities: a multiobjective approach. Revista Facultad de Ingenier\u00eda Universidad de Antioquia (2020). (in press)","DOI":"10.17533\/udea.redin.20200587"},{"issue":"1\u20133","key":"20_CR21","first-page":"425","volume":"83","author":"V Norkin","year":"1998","unstructured":"Norkin, V., Pflug, G., Ruszczy\u0144ski, A.: A branch and bound method for stochastic global optimization. Math. Program. 83(1\u20133), 425\u2013450 (1998)","journal-title":"Math. Program."},{"key":"20_CR22","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"146","DOI":"10.1007\/978-3-030-38889-8_12","volume-title":"Smart Cities","author":"R Porteiro","year":"2020","unstructured":"Porteiro, R., Nesmachnow, S., Hern\u00e1ndez-Callejo, L.: Short term load forecasting of industrial electricity using machine learning. In: Nesmachnow, S., Hern\u00e1ndez Callejo, L. (eds.) ICSC-CITIES 2019. CCIS, vol. 1152, pp. 146\u2013161. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-38889-8_12"},{"issue":"3","key":"20_CR23","doi-asserted-by":"publisher","first-page":"513","DOI":"10.1287\/moor.21.3.513","volume":"21","author":"S Robinson","year":"1996","unstructured":"Robinson, S.: Analysis of sample-path optimization. Math. Oper. Res. 21(3), 513\u2013528 (1996)","journal-title":"Math. Oper. Res."},{"key":"20_CR24","unstructured":"Rossit, D.: Desarrollo de modelos y algoritmos para optimizar redes log\u00edsticas de residuos s\u00f3lidos urbanos. Ph.D. thesis, Universidad Nacional del Sur, Bah\u00eda Blanca, Argentina, November 2018"},{"key":"20_CR25","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1016\/j.wasman.2020.02.016","volume":"105","author":"D Rossit","year":"2020","unstructured":"Rossit, D., Toutouh, J., Nesmachnow, S.: Exact and heuristic approaches for multi-objective garbage accumulation points location in real scenarios. Waste Manage. 105, 467\u2013481 (2020)","journal-title":"Waste Manage."},{"key":"20_CR26","unstructured":"Shapiro, A.: Monte Carlo simulation approach to stochastic programming. In: Proceeding of the 2001 Winter Simulation Conference (cat. no. 01CH37304), vol. 1, pp. 428\u2013431. IEEE (2001)"},{"issue":"2\u20133","key":"20_CR27","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1023\/A:1021814225969","volume":"24","author":"B Verweij","year":"2003","unstructured":"Verweij, B., Ahmed, S., Kleywegt, A., Nemhauser, G., Shapiro, A.: The sample average approximation method applied to stochastic routing problems: a computational study. Comput. Optim. Appl. 24(2\u20133), 289\u2013333 (2003)","journal-title":"Comput. Optim. Appl."},{"key":"20_CR28","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1016\/j.enconman.2015.01.053","volume":"102","author":"C Wang","year":"2015","unstructured":"Wang, C., Zhou, Y., Jiao, B., Wang, Y., Liu, W., Wang, D.: Robust optimization for load scheduling of a smart home with photovoltaic system. Energy Convers. Manage. 102, 247\u2013257 (2015)","journal-title":"Energy Convers. Manage."},{"issue":"4","key":"20_CR29","doi-asserted-by":"publisher","first-page":"575","DOI":"10.3390\/app8040575","volume":"8","author":"J Wang","year":"2018","unstructured":"Wang, J., Li, P., Fang, K., Zhou, Y.: Robust optimization for household load scheduling with uncertain parameters. Appl. Sci. 8(4), 575 (2018)","journal-title":"Appl. Sci."},{"key":"20_CR30","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1016\/j.energy.2018.08.113","volume":"163","author":"Z Yahia","year":"2018","unstructured":"Yahia, Z., Pradhan, A.: Optimal load scheduling of household appliances considering consumer preferences: an experimental analysis. Energy 163, 15\u201326 (2018)","journal-title":"Energy"},{"key":"20_CR31","first-page":"102058","volume":"55","author":"Z Yahia","year":"2020","unstructured":"Yahia, Z., Pradhan, A.: Multi-objective optimization of household appliance scheduling problem considering consumer preference and peak load reduction. Sustain. Urban Areas 55, 102058 (2020)","journal-title":"Sustain. Urban Areas"}],"container-title":["Communications in Computer and Information Science","Production Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-76310-7_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,11]],"date-time":"2021-05-11T20:16:20Z","timestamp":1620764180000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-76310-7_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030763091","9783030763107"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-76310-7_20","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"12 May 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICPR-Americas","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference of Production Research \u2013 Americas","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bah\u00eda Blanca","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Argentina","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 December 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 December 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icpramericas2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.matematica.uns.edu.ar\/ipcra\/default.php","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"275","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"41","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"11","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"15% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.7","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Due to the COVID-19 pandemic the conference was held online.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}