{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T20:54:09Z","timestamp":1769720049533,"version":"3.49.0"},"reference-count":73,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2022,12,26]],"date-time":"2022-12-26T00:00:00Z","timestamp":1672012800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"European Regional Development Fund"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Energies"],"abstract":"<jats:p>The adoption of smart grids is becoming a common reality worldwide. This new reality is starting to impact energy customers as they face a dynamic grid in which they can actively participate. However, if energy customers are not prepared to participate actively, they can have their energy costs increased. This paper provides a review of acceptance models and customer surveys around the world made to assess the customers\u2019 perception and willingness to participate in smart grids. Contributing to this assessment, this paper presents a survey undertaken in Portugal. The survey results demonstrate a willingness, from the customer\u2019s end, to actively participate in smart grid initiatives. It was found that 92.9% of participants are willing to plan their energy usage to face hourly energy prices and that 95.0% of participants are willing to accept an external control of at least one appliance, enabling direct load control demand response programs. Also, the results identified two cognitive tendencies, negativity bias, and loss aversion, which can impact how customers participate in smart grids. These cognitive tendencies and the literature acceptance models demonstrate the importance of conducting social science studies targeting smart grids to fully achieve the efficient participation of end customers.<\/jats:p>","DOI":"10.3390\/en16010270","type":"journal-article","created":{"date-parts":[[2022,12,27]],"date-time":"2022-12-27T04:35:43Z","timestamp":1672115743000},"page":"270","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Assessment of Energy Customer Perception, Willingness, and Acceptance to Participate in Smart Grids\u2014A Portuguese Survey"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8597-3383","authenticated-orcid":false,"given":"Luis","family":"Gomes","sequence":"first","affiliation":[{"name":"GECAD\u2014Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, Polytechnic of Porto, 4200-072 Porto, Portugal"},{"name":"LASI\u2014Intelligent Systems Associate Laboratory, 4800-058 Guimar\u00e3es, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7949-2877","authenticated-orcid":false,"given":"Ant\u00f3nio","family":"Coelho","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal"},{"name":"INESC TEC\u2014Institute for Systems and Computer Engineering, Technology and Science, 4200-465 Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4560-9544","authenticated-orcid":false,"given":"Zita","family":"Vale","sequence":"additional","affiliation":[{"name":"GECAD\u2014Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, Polytechnic of Porto, 4200-072 Porto, Portugal"},{"name":"LASI\u2014Intelligent Systems Associate Laboratory, 4800-058 Guimar\u00e3es, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2022,12,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Shewale, A., Mokhade, A., Funde, N., and Bokde, N.D. (2020). An Overview of Demand Response in Smart Grid and Optimization Techniques for Efficient Residential Appliance Scheduling Problem. Energies, 13.","DOI":"10.3390\/en13164266"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"5374","DOI":"10.1016\/j.energy.2011.06.049","article-title":"Demand response in electrical energy supply: An optimal real time pricing approach","volume":"36","author":"Faria","year":"2011","journal-title":"Energy"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"342","DOI":"10.1016\/j.rser.2015.12.282","article-title":"A survey on residential Demand Side Management architecture, approaches, optimization models and methods","volume":"59","author":"Esther","year":"2016","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1016\/j.erss.2017.10.018","article-title":"Political power and renewable energy futures: A critical review","volume":"35","author":"Burke","year":"2018","journal-title":"Energy Res. Soc. Sci."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"396","DOI":"10.1016\/j.rser.2015.10.036","article-title":"A survey on the critical issues in smart grid technologies","volume":"54","author":"Colak","year":"2016","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"4785","DOI":"10.1109\/TSG.2017.2670618","article-title":"Demand-Response-Based Distributed Preventive Control to Improve Short-Term Voltage Stability","volume":"9","author":"Dong","year":"2017","journal-title":"IEEE Trans. Smart Grid"},{"key":"ref_7","first-page":"101692","article-title":"A review of strategies for building energy management system: Model predictive control, demand side management, optimization, and fault detect & diagnosis","volume":"33","year":"2020","journal-title":"J. Build. Eng."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"100418","DOI":"10.1016\/j.esr.2019.100418","article-title":"Towards transactive energy systems: An analysis on current trends","volume":"26","author":"Abrishambaf","year":"2019","journal-title":"Energy Strat. Rev."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Barreto, R., Gon\u00e7alves, C., Gomes, L., Faria, P., and Vale, Z. (2022). Evaluation Metrics to Assess the Most Suitable Energy Community End-Users to Participate in Demand Response. Energies, 15.","DOI":"10.3390\/en15072380"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"103848","DOI":"10.1016\/j.jobe.2021.103848","article-title":"Comfort and energy consumption optimization in smart homes using bat algorithm with inertia weight","volume":"47","author":"Malek","year":"2022","journal-title":"J. Build. Eng."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"111762","DOI":"10.1016\/j.enbuild.2021.111762","article-title":"IoT Task Management Mechanism Based on Predictive Optimization for Efficient Energy Consumption in Smart Residential Buildings","volume":"257","author":"Iqbal","year":"2022","journal-title":"Energy Build."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"131024","DOI":"10.1016\/j.jclepro.2022.131024","article-title":"A novel transactive energy trading model for modernizing energy hubs in the coupled heat and electricity network","volume":"344","author":"Daneshvar","year":"2022","journal-title":"J. Clean. Prod."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"5748","DOI":"10.1109\/TII.2022.3141784","article-title":"A User-Friendly Transactive Coordination Model for Residential Prosumers Considering Voltage Unbalance in Distribution Networks","volume":"18","author":"Saber","year":"2022","journal-title":"IEEE Trans. Ind. Informatics"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Dib, M., Abdallah, R., and Dib, O. (2022). Optimization Approach for the Aggregation of Flexible Consumers. Electronics, 11.","DOI":"10.3390\/electronics11040628"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1495","DOI":"10.1007\/s12652-020-02801-6","article-title":"A secure and efficient privacy-preserving data aggregation algorithm","volume":"13","author":"Dou","year":"2021","journal-title":"J. Ambient Intell. Humaniz. Comput."},{"key":"ref_16","first-page":"106353","article-title":"Bidirectional smart charging of electric vehicles considering user preferences, peer to peer energy trade, and provision of grid ancillary services","volume":"124","author":"Khani","year":"2020","journal-title":"Int. J. Electr. Power Energy Syst."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"2782","DOI":"10.1109\/TIA.2021.3057014","article-title":"A Novel Hybrid Home Energy Management System Considering Electricity Cost and Greenhouse Gas Emissions Minimization","volume":"57","author":"Rucker","year":"2021","journal-title":"IEEE Trans. Ind. Appl."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"161627","DOI":"10.1109\/ACCESS.2021.3132962","article-title":"User Preference-Based Demand Response for Smart Home Energy Management Using Multiobjective Reinforcement Learning","volume":"9","author":"Chen","year":"2021","journal-title":"IEEE Access"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1109\/TSG.2010.2046346","article-title":"A Reliability Perspective of the Smart Grid","volume":"1","author":"Moslehi","year":"2010","journal-title":"IEEE Trans. Smart Grid"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"101329","DOI":"10.1016\/j.jup.2021.101329","article-title":"Operational concerns and solutions in smart electricity distribution systems","volume":"74","author":"Jayachandran","year":"2021","journal-title":"Util. Policy"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Assad, U., Hassan, M.A.S., Farooq, U., Kabir, A., Khan, M.Z., Bukhari, S.S.H., Jaffri, Z.U.A., Ol\u00e1h, J., and Popp, J. (2022). Smart Grid, Demand Response and Optimization: A Critical Review of Computational Methods. Energies, 15.","DOI":"10.3390\/en15062003"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.erss.2019.01.015","article-title":"Are energy efficiency policies for household context dependent? A comparative study of Brazil, Chile, Colombia and Uruguay","volume":"52","author":"Zabaloy","year":"2019","journal-title":"Energy Res. Soc. Sci."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1016\/j.erss.2019.02.001","article-title":"It starts at home? Climate policies targeting household consumption and behavioral decisions are key to low-carbon futures","volume":"52","author":"Dubois","year":"2019","journal-title":"Energy Res. Soc. Sci."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"166","DOI":"10.1016\/j.rser.2016.01.016","article-title":"A review of residential demand response of smart grid","volume":"59","author":"Haider","year":"2016","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"2381","DOI":"10.1109\/TPAS.1985.318980","article-title":"Part I of II Parts Glossary of Terms Related to Load Management","volume":"PAS-104","author":"Berkowitz","year":"1985","journal-title":"IEEE Trans. Power Appar. Syst."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1016\/j.eneco.2016.11.011","article-title":"Energy rebound effect in China\u2019s Industry: An aggregate and disaggregate analysis","volume":"61","author":"Zhang","year":"2017","journal-title":"Energy Econ."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Kumar, P., Ali, I., and Thanki, D.V. (2018). Demand-Side Management: Energy Efficiency and Demand Response. Handbook of Research on Power and Energy System Optimization, IGI Global.","DOI":"10.4018\/978-1-5225-3935-3.ch013"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"100043","DOI":"10.1016\/j.egyai.2020.100043","article-title":"Deep reinforcement learning for home energy management system control","volume":"3","author":"Lissa","year":"2020","journal-title":"Energy AI"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"117276","DOI":"10.1016\/j.apenergy.2021.117276","article-title":"Real data-driven occupant-behavior optimization for reduced energy consumption and improved comfort","volume":"302","author":"Amasyali","year":"2021","journal-title":"Appl. Energy"},{"key":"ref_30","first-page":"e12736","article-title":"Analysis of multi-objective optimization: A technical proposal for energy and comfort management in buildings","volume":"31","author":"Malik","year":"2020","journal-title":"Int. Trans. Electr. Energy Syst."},{"key":"ref_31","unstructured":"GridWise Architecture Council (2022, October 25). GridWise Transactive Energy Framework (Version 1.0), Report, 2015. Available online: https:\/\/www.gridwiseac.org\/pdfs\/te_framework_report_pnnl-22946.pdf."},{"key":"ref_32","unstructured":"Hertzog, C. Smart Grid Dictionary, 5th ed.; GreenSprint Marketing LLC, Sellersburg, USA, 2013; ISBN-10: 0984094490."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1109\/MPE.2016.2524962","article-title":"A Society of Devices: Integrating Intelligent Distributed Resources with Transactive Energy","volume":"14","author":"Kok","year":"2016","journal-title":"IEEE Power Energy Mag."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"von Bonin, M., D\u00f6rre, E., Al-Khzouz, H., Braun, M., and Zhou, X. (2022). Impact of Dynamic Electricity Tariff and Home PV System Incentives on Electric Vehicle Charging Behavior: Study on Potential Grid Implications and Economic Effects for Households. Energies, 15.","DOI":"10.3390\/en15031079"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Suhonen, J., Jokisalo, J., Kosonen, R., Kauppi, V., Ju, Y., and Jan\u00dfen, P. (2020). Demand Response Control of Space Heating in Three Different Building Types in Finland and Germany. Energies, 13.","DOI":"10.3390\/en13236296"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1016\/j.ijepes.2018.08.019","article-title":"Stochastic interval-based optimal offering model for residential energy management systems by household owners","volume":"105","author":"Gazafroudi","year":"2018","journal-title":"Int. J. Electr. Power Energy Syst."},{"key":"ref_37","first-page":"943","article-title":"A transactive energy model for smart metering systems using blockchain","volume":"7","year":"2021","journal-title":"CSEE J. Power Energy Syst."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"792","DOI":"10.1049\/rpg2.12431","article-title":"Numerical demonstration of a transactive energy trading model for microgrids","volume":"16","author":"Crasta","year":"2022","journal-title":"IET Renew. Power Gener."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"112237","DOI":"10.1016\/j.enpol.2021.112237","article-title":"Devising a trading mechanism with a joint price adjustment for local electricity markets using blockchain. Insights for policy makers","volume":"152","author":"Oprea","year":"2021","journal-title":"Energy Policy"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"103747","DOI":"10.1016\/j.scs.2022.103747","article-title":"Pool trading model within a local energy community considering flexible loads, photovoltaic generation and energy storage systems","volume":"79","author":"Javadi","year":"2022","journal-title":"Sustain. Cities Soc."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"104182","DOI":"10.1016\/j.scs.2022.104182","article-title":"Mechanism design for decentralized peer-to-peer energy trading considering heterogeneous preferences","volume":"87","author":"Talari","year":"2022","journal-title":"Sustain. Cities Soc."},{"key":"ref_42","unstructured":"(2022, October 25). T77, Getting to Know T77. Available online: http:\/\/www.t77community.com\/en\/."},{"key":"ref_43","unstructured":"Fry, M. (2022, October 25). CASE STUDY: Learn More about Our Live Project with BCPG in Bangkok, Thailand. Medium, 20th November 2018. Available online: https:\/\/medium.com\/power-ledger\/case-study-learn-more-about-our-live-project-with-bcpg-in-bangkok-thailand-ab7a31c8b464."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"774","DOI":"10.1109\/TPWRS.2016.2559485","article-title":"Transactive Control of Commercial Buildings for Demand Response","volume":"32","author":"Hao","year":"2017","journal-title":"IEEE Trans. Power Syst."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"64169","DOI":"10.1109\/ACCESS.2020.2985254","article-title":"Multi-Agent Microgrid Management System for Single-Board Computers: A Case Study on Peer-to-Peer Energy Trading","volume":"8","author":"Gomes","year":"2020","journal-title":"IEEE Access"},{"key":"ref_46","unstructured":"U.S (2022, October 25). Department of Energy, Benefits of Demand Response in Electricity Markets and Recommendations For Achieving Them 2006, Available online: https:\/\/eetd.lbl.gov\/sites\/all\/files\/publications\/report-lbnl-1252d.pdf."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"19410","DOI":"10.1109\/ACCESS.2020.2968402","article-title":"Microgrid Transactive Energy: Review, Architectures, Distributed Ledger Technologies, and Market Analysis","volume":"8","author":"Zia","year":"2020","journal-title":"IEEE Access"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"1343","DOI":"10.1002\/ese3.1104","article-title":"Risk-averse scheduling of an energy hub in the presence of correlated uncertain variables considering time of use and real-time pricing-based demand response programs","volume":"10","author":"Allahvirdizadeh","year":"2022","journal-title":"Energy Sci. Eng."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"111916","DOI":"10.1016\/j.enbuild.2022.111916","article-title":"Integrated energy management of a smart community with electric vehicle charging using scenario based stochastic model predictive control","volume":"260","author":"Zhou","year":"2022","journal-title":"Energy Build."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1109\/TASE.2021.3103808","article-title":"Innovative Approaches for Electric Vehicles Relocation in Sharing Systems","volume":"19","author":"Fanti","year":"2021","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/j.energy.2018.10.189","article-title":"A price decision approach for multiple multi-energy-supply microgrids considering demand response","volume":"167","author":"Li","year":"2018","journal-title":"Energy"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1109\/MIS.2013.2","article-title":"Distributed, Agent-Based Intelligent System for Demand Response Program Simulation in Smart Grids","volume":"29","author":"Gomes","year":"2013","journal-title":"IEEE Intell. Syst."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"1648","DOI":"10.1049\/gtd2.12391","article-title":"Impact of renewable energy integration on a novel method for pricing incentive payments of incentive-based demand response program","volume":"16","author":"Duc","year":"2022","journal-title":"IET Gener. Transm. Distrib."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"2195","DOI":"10.1109\/TSG.2019.2949263","article-title":"A Minimal Incentive-Based Demand Response Program With Self Reported Baseline Mechanism","volume":"11","author":"Muthirayan","year":"2019","journal-title":"IEEE Trans. Smart Grid"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1016\/j.rser.2017.04.014","article-title":"A review of the value of aggregators in electricity systems","volume":"77","author":"Burger","year":"2017","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_56","doi-asserted-by":"crossref","unstructured":"Hasan, K.N., Wang, M., and Milanovic, J.V. (2018, January 21\u201325). A Survey on Demand Side Management Potential in South-East Europe to Support Transmission Network Flexibility. Proceedings of the 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), Sarajevo, Bosnia and Herzegovina.","DOI":"10.1109\/ISGTEurope.2018.8571693"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"1285","DOI":"10.1016\/j.rser.2016.06.021","article-title":"Smart grid customers\u2019 acceptance and engagement: An overview","volume":"65","author":"Ellabban","year":"2016","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1016\/j.egypro.2017.09.040","article-title":"Dynamic characteristics of smart grid technology acceptance","volume":"128","author":"Park","year":"2017","journal-title":"Energy Procedia"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/j.erss.2017.10.012","article-title":"Flexiwatts and seamless technology: Public perceptions of demand flexibility through smart home technology","volume":"39","author":"Parag","year":"2018","journal-title":"Energy Res. Soc. Sci."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1016\/j.rser.2017.09.023","article-title":"Survey about public perception regarding smart grid, energy efficiency & renewable energies applications in Qatar","volume":"82","author":"Abdmouleh","year":"2018","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.jup.2017.09.009","article-title":"A smarter electricity grid for the Eastern Province of Saudi Arabia: Perceptions and policy implications","volume":"50","author":"Sultana","year":"2018","journal-title":"Util. Policy"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1016\/j.egypro.2018.12.058","article-title":"Public perception of sustainable energy innovation: A case study from Tilos, Greece","volume":"159","author":"Stephanides","year":"2019","journal-title":"Energy Procedia"},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"118712","DOI":"10.1016\/j.energy.2020.118712","article-title":"Analysis of demand-side response preferences regarding electricity tariffs and direct load control: Key findings from a Swiss survey","volume":"212","author":"Yilmaz","year":"2020","journal-title":"Energy"},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"Stragier, J., Hauttekeete, L., and De Marez, L. (2010, January 27\u201329). Introducing Smart grids in residential contexts: Consumers\u2019 perception of smart household appliances. Proceedings of the 2010 IEEE Conference on Innovative Technologies for an Efficient and Reliable Electricity Supply (CITRES), Waltham, MA, USA.","DOI":"10.1109\/CITRES.2010.5619864"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"392","DOI":"10.1016\/j.apenergy.2014.08.048","article-title":"Responsible technology acceptance: Model development and application to consumer acceptance of Smart Grid technology","volume":"134","author":"Toft","year":"2014","journal-title":"Appl. Energy"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"101927","DOI":"10.1016\/j.erss.2021.101927","article-title":"Engaging customers in demand response programs: The role of reward and punishment in customer adoption in Switzerland","volume":"74","author":"Gamma","year":"2021","journal-title":"Energy Res. Soc. Sci."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"550","DOI":"10.1038\/nclimate2610","article-title":"Public perceptions of demand-side management and a smarter energy future","volume":"5","author":"Spence","year":"2015","journal-title":"Nat. Clim. Chang."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"613","DOI":"10.1080\/10447318.2016.1183330","article-title":"Gamification Solutions to Enhance Software User Engagement\u2014A Systematic Review","volume":"32","author":"Darejeh","year":"2016","journal-title":"Int. J. Human\u2013Computer Interact."},{"key":"ref_69","doi-asserted-by":"crossref","unstructured":"Ouariachi, T., Li, C.-Y., and Elving, W.J.L. (2020). Gamification Approaches for Education and Engagement on Pro-Environmental Behaviors: Searching for Best Practices. Sustainability, 12.","DOI":"10.3390\/su12114565"},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1016\/j.erss.2018.04.043","article-title":"Gamification-based framework for engagement of residential customers in energy applications","volume":"44","author":"AlSkaif","year":"2018","journal-title":"Energy Res. Soc. Sci."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"110101","DOI":"10.1016\/j.enbuild.2020.110101","article-title":"A gamification platform to foster energy efficiency in office buildings","volume":"222","author":"Iria","year":"2020","journal-title":"Energy Build."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"997","DOI":"10.1080\/13549839.2018.1531837","article-title":"Energy made in Northern Friesland: Fair enough?","volume":"24","author":"Chezel","year":"2018","journal-title":"Local Environ."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"100013","DOI":"10.1016\/j.egycc.2020.100013","article-title":"Public participation in decision making, perceived procedural fairness and public acceptability of renewable energy projects","volume":"1","author":"Liu","year":"2020","journal-title":"Energy Clim. Chang."}],"container-title":["Energies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1996-1073\/16\/1\/270\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:52:07Z","timestamp":1760147527000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1996-1073\/16\/1\/270"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,26]]},"references-count":73,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2023,1]]}},"alternative-id":["en16010270"],"URL":"https:\/\/doi.org\/10.3390\/en16010270","relation":{},"ISSN":["1996-1073"],"issn-type":[{"value":"1996-1073","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,26]]}}}