{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T03:35:40Z","timestamp":1778297740405,"version":"3.51.4"},"reference-count":77,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2021,2,13]],"date-time":"2021-02-13T00:00:00Z","timestamp":1613174400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Energies"],"abstract":"<jats:p>Understanding to what extent the emergence of prosumers and prosumagers organized in energy communities can impact the organization and operation of power grids has been one of the major recent research avenues at the European level. In renewable-based communities aiming to reach some level of energy self-sufficiency, a key issue to be addressed is assessing how the presence of end-users playing different roles in the system (self-consuming, producing and trading, performing demand management, etc.) can influence the overall system performance. In this setting, this paper combines Distributed Artificial Intelligence and optimization approaches to assess how prosumagers and consumers pursuing different goals can influence the energy self-sufficiency of a local energy community. The residential demand is accurately modeled, and the agents\u2019 preferences are considered in the modeling to represent a smart community. The results show that although energy community members may have conflicting individual goals, the overall system self-sufficiency can be maximized with economic benefits for all stakeholders, thus illustrating the advantages of energy communities.<\/jats:p>","DOI":"10.3390\/en14040989","type":"journal-article","created":{"date-parts":[[2021,2,14]],"date-time":"2021-02-14T02:08:12Z","timestamp":1613268492000},"page":"989","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":33,"title":["Assessing the Influence of Different Goals in Energy Communities\u2019 Self-Sufficiency\u2014An Optimized Multiagent Approach"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7810-6230","authenticated-orcid":false,"given":"In\u00eas F. G.","family":"Reis","sequence":"first","affiliation":[{"name":"INESC Coimbra, DEEC, Rua S\u00edlvio Lima, Polo II, 3030-290 Coimbra, Portugal"}]},{"given":"Ivo","family":"Gon\u00e7alves","sequence":"additional","affiliation":[{"name":"INESC Coimbra, DEEC, Rua S\u00edlvio Lima, Polo II, 3030-290 Coimbra, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7413-1295","authenticated-orcid":false,"given":"Marta A. R.","family":"Lopes","sequence":"additional","affiliation":[{"name":"INESC Coimbra, DEEC, Rua S\u00edlvio Lima, Polo II, 3030-290 Coimbra, Portugal"},{"name":"Polytechnic of Coimbra, ESAC, 3045-601 Coimbra, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4754-2168","authenticated-orcid":false,"given":"Carlos Henggeler","family":"Antunes","sequence":"additional","affiliation":[{"name":"INESC Coimbra, DEEC, Rua S\u00edlvio Lima, Polo II, 3030-290 Coimbra, Portugal"},{"name":"Department of Electrical and Computer Engineering, University of Coimbra, Rua S\u00edlvio Lima, Polo II, 3030-290 Coimbra, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2021,2,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"6497","DOI":"10.1016\/j.rser.2012.08.002","article-title":"Energy autonomy in sustainable communities\u2014A review of key issues","volume":"16","author":"Rae","year":"2012","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1016\/j.erss.2017.10.019","article-title":"Typology of future clean energy communities: An exploratory structure, opportunities, and challenges","volume":"35","author":"Gui","year":"2018","journal-title":"Energy Res. Soc. Sci."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1016\/j.erss.2018.01.009","article-title":"Trust, awareness, and independence: Insights from a socio-psychological factor analysis of citizen knowledge and participation in community energy systems","volume":"38","author":"Koirala","year":"2018","journal-title":"Energy Res. Soc. Sci."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Alonso-Betanzos, A., S\u00e1nchez-Maro\u00f1o, N., Fontenla-Romero, O., Polhill, J.G., Craig, T., Bajo, J., and Corchado, J.M. (2017). Energy management in the smart grids via intelligent storage systems. Agent-Based Modeling of Sustainable Behaviors, Springer International Publishing AG.","DOI":"10.1007\/978-3-319-46331-5"},{"key":"ref_5","unstructured":"European Committee of the Regions (2020, June 07). Models of Local Energy Ownership and the Role of Local Energy Communities in Energy Transition in Europe. Available online: https:\/\/op.europa.eu\/en\/publication-detail\/-\/publication\/667d5014-c2ce-11e8-9424-01aa75ed71a1\/language-en."},{"key":"ref_6","unstructured":"REScoop.EU (2020, June 07). The New Energy Market Design: How the EU Can Support Energy Communities and Citizens to Participate in the Energy Transition. Available online: https:\/\/energy-cities.eu\/wp-content\/uploads\/2018\/11\/commuity_energy_coalition_pp_trilogues_mdi_final.pdf."},{"key":"ref_7","unstructured":"Caramizaru, A., and Uihlein, A. (2020, November 02). Energy Communities: An Overview of Energy and Social Innovation. Belgium, 2020. Available online: https:\/\/ec.europa.eu\/jrc\/en\/publication\/eur-scientific-and-technical-research-reports\/energy-communities-overview-energy-and-social-innovation."},{"key":"ref_8","unstructured":"Braunholtz-Speight, T., Sharmina, M., Manderson, E., McLachlan, C., Hannon, M., Hardy, J., and Mander, S. (2020, August 16). Evolution of Community Energy in the UK. Available online: https:\/\/d2e1qxpsswcpgz.cloudfront.net\/uploads\/2020\/03\/ukerc-wp_evolution-of-community-energy-in-the-uk.pdf."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"111098","DOI":"10.1016\/j.enpol.2019.111098","article-title":"Becoming prosumer: Revealing trading preferences and decision-making strategies in peer-to-peer energy communities","volume":"137","author":"Hahnel","year":"2019","journal-title":"Energy Policy"},{"key":"ref_10","unstructured":"European Commission (2018). Directive on the Promotion of the Use of Energy from Renewable Sources (Recast), European Commission. Available online: https:\/\/eur-lex.europa.eu\/legal-content\/en\/TXT\/?uri=CELEX%3A32018L2001."},{"key":"ref_11","unstructured":"European Parliament and Council of the EU (2020, June 15). Directive on Common Rules for the Internal Market for Electricity. Available online: https:\/\/eur-lex.europa.eu\/legal-content\/EN\/TXT\/?uri=CELEX%3A32019L0944."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"109489","DOI":"10.1016\/j.rser.2019.109489","article-title":"Renewable energy communities under the 2019 European Clean Energy Package\u2014Governance model for the energy clusters of the future?","volume":"122","author":"Lowitzsch","year":"2020","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"101936","DOI":"10.1016\/j.gloenvcha.2019.101936","article-title":"Is it for the money, the environment, or the community? Motives for being involved in community energy initiatives","volume":"57","author":"Sloot","year":"2019","journal-title":"Glob. Environ. Chang."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1016\/j.enpol.2016.07.049","article-title":"Transforming the energy system: Why municipalities strive for energy self-sufficiency","volume":"98","author":"Engelken","year":"2016","journal-title":"Energy Policy"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.rser.2015.04.051","article-title":"\u201cLet\u2019s do it ourselves\u201d\u2014Individual motivations for investing in renewables at community level","volume":"49","author":"Vasileiadou","year":"2015","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"2822","DOI":"10.3390\/su6052822","article-title":"Changing the energy system towards renewable energy self-sufficiency\u2014A multi-perspective and interdisciplinary framework","volume":"6","author":"Hauber","year":"2014","journal-title":"Sustainability"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"5800","DOI":"10.1016\/j.enpol.2011.04.019","article-title":"Energy autarky: A conceptual framework for sustainable regional development","volume":"39","author":"Dold","year":"2011","journal-title":"Energy Policy"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Pie\u0144kowski, D., and Zbaraszewski, W. (2019). Sustainable energy autarky and the evolution of German bioenergy villages. Sustainability, 11.","DOI":"10.3390\/su11184996"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"893","DOI":"10.1080\/00207233.2019.1662219","article-title":"Pathways to energy autonomy\u2013Challenges and opportunities","volume":"76","author":"Bentley","year":"2019","journal-title":"Int. J. Environ. Stud."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"111212","DOI":"10.1016\/j.enpol.2019.111212","article-title":"Regulatory challenges and opportunities for collective renewable energy prosumers in the EU","volume":"138","author":"Campos","year":"2020","journal-title":"Energy Policy"},{"key":"ref_21","unstructured":"McKenna, E., Leicester, P., Webborn, E., and Elam, S. (2019). Analysis of international residential solar PV self-consumption. ECEEE Summer Study Proceedings, ECEEE."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"4419","DOI":"10.1016\/j.enpol.2008.09.030","article-title":"Demand-side management: Benefits and challenges","volume":"36","author":"Strbac","year":"2008","journal-title":"Energy Policy"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1016\/j.scs.2013.11.001","article-title":"Demand side management in smart grid: A review and proposals for future direction","volume":"11","author":"Gelazanskas","year":"2014","journal-title":"Sustain. Cities Soc."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Schill, W.-P., Zerrah, A., and Kunz, F. (2019, July 19). Prosumage of Solar Electricity: Pros, Cons, and the System Perspective. 2017. DIW Berlin Discussion Paper No. 1637. Available online: https:\/\/ssrn.com\/abstract=2912814.","DOI":"10.2139\/ssrn.2912814"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1007\/s40565-015-0130-2","article-title":"Estimation of cost savings from participation of electric vehicles in vehicle to grid (V2G) schemes","volume":"3","author":"Kiaee","year":"2015","journal-title":"J. Mod. Power Syst. Clean Energy"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"109899","DOI":"10.1016\/j.rser.2020.109899","article-title":"Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review","volume":"130","author":"Antonopoulos","year":"2020","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"873","DOI":"10.1016\/j.energy.2009.03.005","article-title":"Modeling technological change in energy systems\u2014From optimization to agent-based modeling","volume":"34","author":"Ma","year":"2009","journal-title":"Energy"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Ali, S.S., and Choi, B.J. (2020). State-of-the-art of artificial intelligence techniques for distributed smart grids: A review. Electronics, 9.","DOI":"10.3390\/electronics9061030"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1007\/BF00155579","article-title":"Trends in Distributed Artificial Intelligence","volume":"6","author":"Moulin","year":"1992","journal-title":"Artif. Intell. Rev."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Merabet, H.G., Essaaidi, M., Talei, H., Abid, R.M., Khalil, N., Madkour, M., and Benhaddou, D. (2014, January 14\u201316). Applications of multi-agent systems in smart grids: A survey. Proceedings of the International Conference on Multimedia Computing and Systems, Marrakech, Morocco.","DOI":"10.1109\/ICMCS.2014.6911384"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Van Dam, K., Nikolic, I., and Lukszo, Z. (2013). Next steps in modelling socio-technical systems: Towards collaborative modelling. Agent-Based Modelling of Socio-Technical Systems, Springer.","DOI":"10.1007\/978-94-007-4933-7"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"820","DOI":"10.1016\/j.apenergy.2016.10.056","article-title":"Multi-agent systems applied for energy systems integration: State-of-the-art applications and trends in microgrids","volume":"187","author":"Coelho","year":"2017","journal-title":"Appl. Energy"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Lez-Briones, A.G., de la Prieta, F., Mohamad, M.S., Omatu, S., and Corchado, J.M. (2018). Multi-agent systems applications in energy optimization problems: A state-of-the-art review. Energies, 11.","DOI":"10.3390\/en11081928"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1145\/122344.122367","article-title":"The Agent Network Architecture (ANA)","volume":"2","author":"Allab","year":"1991","journal-title":"ACM SIGART Bull."},{"key":"ref_35","first-page":"18","article-title":"Agent architecture: An overview","volume":"1","author":"Chin","year":"2014","journal-title":"Trans. Sci. Technol."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Van Dam, K., Nikolic, I., and Lukszo, Z. (2013). Introduction. Agent-Based Modelling of Socio-Technical Systems, Springer.","DOI":"10.1007\/978-94-007-4933-7"},{"key":"ref_37","unstructured":"Guo, Y., Zeman, A., and Li, R. (2010). Utility simulation tool for automated energy demand side management. First International Workshop on Agent Technology for Energy Systems (ATES 2010), International Foundation for Autonomous Agents and Multiagent Systems."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1016\/j.rser.2015.12.169","article-title":"Agent-based modelling and simulation of smart electricity grids and markets\u2014A literature review","volume":"57","author":"Ringler","year":"2016","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1265","DOI":"10.1016\/j.ejor.2005.11.056","article-title":"Agent-based analysis of technological diversification and specialization in electricity markets","volume":"181","author":"Bunn","year":"2007","journal-title":"Eur. J. Oper. Res."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1016\/j.energy.2016.02.117","article-title":"A multi-agent based distributed energy management scheme for smart grid applications","volume":"103","author":"Radhakrishnan","year":"2016","journal-title":"Energy"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"113516","DOI":"10.1016\/j.apenergy.2019.113516","article-title":"Implementation of a novel multi-agent system for demand response management in low-voltage distribution networks","volume":"253","author":"Davarzani","year":"2019","journal-title":"Appl. Energy"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"556","DOI":"10.1038\/nclimate2967","article-title":"Agent-based modelling of consumer energy choices","volume":"6","author":"Rai","year":"2016","journal-title":"Nat. Clim. Chang."},{"key":"ref_43","unstructured":"Evora, J., Kremers, E., Morales, S., Hernandez, M., Hernandez, J.J., and Viejo, P. (2011). Agent-based modelling of electrical load at household level. Cosmos 2011\u2014Proceedings of the 2011 Workshop on Complex Systems Modelling and Simulation, Luniver Press."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1016\/j.apenergy.2017.05.140","article-title":"The energy-saving potential of an office under different pricing mechanisms\u2014Application of an agent-based model","volume":"202","author":"Lin","year":"2017","journal-title":"Appl. Energy"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1016\/j.epsr.2014.02.013","article-title":"Multiagent study of smart grid customers with neighborhood electricity trading","volume":"111","author":"Kahrobaee","year":"2014","journal-title":"Electr. Power Syst. Res."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"115626","DOI":"10.1016\/j.apenergy.2020.115626","article-title":"A relaxed constrained decentralised demand side management system of a community-based residential microgrid with realistic appliance models","volume":"277","author":"Morsali","year":"2020","journal-title":"Appl. Energy"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1391","DOI":"10.1109\/TSG.2013.2251018","article-title":"An optimal power scheduling method for demand response in home energy management system","volume":"4","author":"Zhao","year":"2013","journal-title":"IEEE Trans. Smart Grid"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1109\/TSG.2012.2214068","article-title":"Multi-objective Optimal Energy Consumption Scheduling in Smart Grids","volume":"4","author":"Salinas","year":"2013","journal-title":"IEEE Trans. Smart Grid"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"1244","DOI":"10.1109\/TSG.2012.2195686","article-title":"Demand side management in smart grid using heuristic optimization","volume":"3","author":"Logenthiran","year":"2012","journal-title":"IEEE Trans. Smart Grid"},{"key":"ref_50","first-page":"233","article-title":"Optimization methods for energy systems","volume":"Volume 2","author":"Frangopoulos","year":"2017","journal-title":"Exergy, Energy System Analysis and Optimization"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"1675","DOI":"10.1016\/j.rser.2017.07.018","article-title":"Prosumer based energy management and sharing in smart grid","volume":"82","author":"Zafar","year":"2018","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_52","first-page":"215","article-title":"A multi-agent system for energy trading between prosumers","volume":"Volume 620","author":"Vinyals","year":"2017","journal-title":"Distributed Computing and Artificial Intelligence, Proceedings of the 14th International Symposium on Distributed Computing and Artificial Intelligence, Porto, Portugal, 21\u201323 June 2017"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"114140","DOI":"10.1016\/j.apenergy.2019.114140","article-title":"Multi-agent based multi objective renewable energy management for diversified community power consumers","volume":"259","author":"Xiong","year":"2020","journal-title":"Appl. Energy"},{"key":"ref_54","unstructured":"Portuguese Statistics Institute (2019, April 04). Households in 2011 Census: How Portuguese Households Have Evolved?. Available online: https:\/\/www.ine.pt\/ngt_server\/attachfileu.jsp?look_parentBoui=207999200&att_display=n&att_download=y."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"1528","DOI":"10.1016\/j.rser.2017.07.033","article-title":"Residential demand response: Experimental evaluation and comparison of self-organizing techniques","volume":"80","author":"Dusparic","year":"2017","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1016\/j.energy.2012.11.047","article-title":"A physically-based model for simulating inverter type air conditioners\/heat pumps","volume":"50","author":"Gomes","year":"2013","journal-title":"Energy"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"492","DOI":"10.1109\/TII.2016.2628961","article-title":"A customized evolutionary algorithm for multiobjective management of residential energy resources","volume":"13","author":"Soares","year":"2017","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1016\/j.apenergy.2019.03.108","article-title":"Optimizing the management of smart home energy resources under different power cost scenarios","volume":"242","author":"Gomes","year":"2019","journal-title":"Appl. Energy"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.ijrefrig.2009.09.014","article-title":"Temperature prediction in domestic refrigerators: Deterministic and stochastic approaches","volume":"33","author":"Laguerre","year":"2010","journal-title":"Int. J. Refrig."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.energy.2011.12.007","article-title":"Model predictive control technologies for efficient and flexible power consumption in refrigeration systems","volume":"44","author":"Hovgaard","year":"2012","journal-title":"Energy"},{"key":"ref_61","unstructured":"Lopes, M., Antunes, C.H., Reis, I., and Martins, A.G. (2018, January 5\u20137). A multidisciplinary approach to assess end-users\u2019 preferences and quantify electricity demand flexibility. Proceedings of the BEHAVE 2018\u20145th European Conference on Behaviour and Energy Efficiency, Zurich, Switzerland."},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Rasouli, V., Goncalves, I., Antunes, C.H., and Gomes, A. (2019, January 9\u201311). A Comparison of MILP and metaheuristic approaches for implementation of a home energy management system under dynamic tariffs. Proceedings of the 2nd International Conference on Smart Energy Systems and Technologies (SEST), Porto, Portugal.","DOI":"10.1109\/SEST.2019.8849064"},{"key":"ref_63","first-page":"109","article-title":"Genetic Algorithms","volume":"Volume 146","author":"Gendreau","year":"2019","journal-title":"Handbook of Metaheuristics"},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"Gon\u00e7alves, I., Gomes, \u00c1., and Antunes, C.H. Optimizing residential energy resources with an improved multi-objective genetic algorithm based on greedy mutations. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), Kyoto, Japan, 15\u201319 July 2018.","DOI":"10.1145\/3205455.3205616"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1109\/4235.996017","article-title":"A fast and elitist multiobjective genetic algorithm: NSGA-II","volume":"6","author":"Deb","year":"2002","journal-title":"IEEE Trans. Evol. Comput."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"101114","DOI":"10.1016\/j.jup.2020.101114","article-title":"A multi-agent system approach to exploit demand-side flexibility in an energy community","volume":"67","author":"Reis","year":"2020","journal-title":"Util. Policy"},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1016\/j.scs.2016.06.014","article-title":"Modelling charging profiles of electric vehicles based on real-world electric vehicle charging data","volume":"26","author":"Brady","year":"2016","journal-title":"Sustain. Cities Soc."},{"key":"ref_68","unstructured":"Portuguese Energy Regulator (2020, January 22). Tariffs and prices\u2014Electricity. Tariffs and Prices for Electricity and Other Services in 2020. Available online: https:\/\/www.erse.pt\/media\/xcwb23n2\/tarifaspre\u00e7os2020.pdf."},{"key":"ref_69","unstructured":"IEA (2019, April 03). Residential Prosumers\u2014Drivers and Policy Options (Re-Prosumers). Available online: http:\/\/iea-retd.org\/wp-content\/uploads\/2014\/06\/RE-PROSUMERS_IEA-RETD_2014.pdf."},{"key":"ref_70","unstructured":"Portuguese Government (2020, February 17). Law 40\/90. Lisbon. Available online: https:\/\/dre.pt\/application\/conteudo\/334611."},{"key":"ref_71","unstructured":"(2020, February 17). Portuguese Government Ordinance 379-A\/2013. Available online: https:\/\/dre.pt\/application\/conteudo\/70789581."},{"key":"ref_72","unstructured":"The European Commission (2019, June 27). EU Building Database. Available online: https:\/\/ec.europa.eu\/energy\/en\/eu-buildings-database."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1007\/s12053-009-9072-8","article-title":"Electricity and water consumption for laundry washing by washing machine worldwide","volume":"3","author":"Pakula","year":"2010","journal-title":"Energy Effic."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1007\/s12053-014-9288-0","article-title":"Energy and water savings potential in automatic laundry washing processes","volume":"8","author":"Pakula","year":"2015","journal-title":"Energy Effic."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"740","DOI":"10.1049\/iet-its.2014.0169","article-title":"The range comfort zone of electric vehicle users\u2014Concept and assessment","volume":"9","author":"Franke","year":"2015","journal-title":"IET Intell. Transport. Syst."},{"key":"ref_76","unstructured":"Nguyen, N.T. (2012). Evaluation of Multi-Agent Systems: Proposal and Validation of a Metric Plan. Transactions on Computational Collective Intelligence VII. Lecture Notes in Computer Science, Springer."},{"key":"ref_77","unstructured":"Reis, I.F.G., Gon\u00e7alves, I., Lopes, M.A.R., and Antunes, C.H. (2020). Assessing the influence of different goals in smart energy communities\u2014An optimized MAS approach. Mendeley Data, Available online: https:\/\/data.mendeley.com\/datasets\/7g762sxszh\/1."}],"container-title":["Energies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1996-1073\/14\/4\/989\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T05:23:52Z","timestamp":1760160232000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1996-1073\/14\/4\/989"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,13]]},"references-count":77,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2021,2]]}},"alternative-id":["en14040989"],"URL":"https:\/\/doi.org\/10.3390\/en14040989","relation":{},"ISSN":["1996-1073"],"issn-type":[{"value":"1996-1073","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,2,13]]}}}