{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T03:59:13Z","timestamp":1760241553002,"version":"build-2065373602"},"reference-count":34,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2018,5,17]],"date-time":"2018-05-17T00:00:00Z","timestamp":1526515200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP)","award":["NRF-2016R1A2B1014734"],"award-info":[{"award-number":["NRF-2016R1A2B1014734"]}]},{"name":"the Korea Institute of Energy Technology Evaluation and Planning (KETEP) and the Ministry of Trade, Industry &amp; Energy (MOTIE) of the Republic of Korea","award":["20151210200080"],"award-info":[{"award-number":["20151210200080"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>In this paper, we provide findings from an energy saving experiment in a university building, where an IoT platform with 1 Hz sampling sensors was deployed to collect electric power consumption data. The experiment was a reward setup with daily feedback delivered by an energy delegate for one week, and energy saving of 25.4% was achieved during the experiment. Post-experiment sustainability, defined as 10% or more of energy saving, was also accomplished for 44 days without any further intervention efforts. The saving was possible mainly because of the data-driven intervention designs with high-resolution data in terms of sampling frequency and number of sensors, and the high-resolution data turned out to be pivotal for an effective waste behavior investigation. While the quantitative result was encouraging, we also noticed many uncontrollable factors, such as exams, papers due, office allocation shuffling, graduation, and new-comers, that affected the result in the campus environment. To confirm that the quantitative result was due to behavior changes, rather than uncontrollable factors, we developed several data-driven behavior detection measures. With these measures, it was possible to analyze behavioral changes, as opposed to simply analyzing quantitative fluctuations. Overall, we conclude that the space-time resolution of data can be crucial for energy saving, and potentially for many other data-driven energy applications.<\/jats:p>","DOI":"10.3390\/s18051606","type":"journal-article","created":{"date-parts":[[2018,5,17]],"date-time":"2018-05-17T11:47:45Z","timestamp":1526557665000},"page":"1606","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Improving the Energy Saving Process with High-Resolution Data: A Case Study in a University Building"],"prefix":"10.3390","volume":"18","author":[{"given":"Jeongyun","family":"Han","sequence":"first","affiliation":[{"name":"Department of Transdisciplinary Studies, Seoul National University, Seoul 08826, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eunjung","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Transdisciplinary Studies, Seoul National University, Seoul 08826, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hyunghun","family":"Cho","sequence":"additional","affiliation":[{"name":"Department of Transdisciplinary Studies, Seoul National University, Seoul 08826, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yoonjin","family":"Yoon","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hyoseop","family":"Lee","sequence":"additional","affiliation":[{"name":"Encored Technologies Inc., Seoul 06109, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2590-8774","authenticated-orcid":false,"given":"Wonjong","family":"Rhee","sequence":"additional","affiliation":[{"name":"Department of Transdisciplinary Studies, Seoul National University, Seoul 08826, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2018,5,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1016\/j.rser.2015.11.050","article-title":"Big data driven smart energy management: From big data to big insights","volume":"56","author":"Zhou","year":"2016","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1124","DOI":"10.1016\/j.enbuild.2007.10.014","article-title":"Load prediction method for heat and electricity demand in buildings for the purpose of planning for mixed energy distribution systems","volume":"40","author":"Pedersen","year":"2008","journal-title":"Energy Build."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"420","DOI":"10.1109\/TSG.2013.2278477","article-title":"Household energy consumption segmentation using hourly data","volume":"5","author":"Kwac","year":"2014","journal-title":"IEEE Trans. Smart Grid"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"493","DOI":"10.1016\/j.enbuild.2014.08.017","article-title":"Effects of real-time eco-feedback and organizational network dynamics on energy efficient behavior in commercial buildings","volume":"84","author":"Gulbinas","year":"2014","journal-title":"Energy Build."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1598","DOI":"10.1016\/j.energy.2009.07.042","article-title":"The impact of informational feedback on energy consumption\u2014A survey of the experimental evidence","volume":"35","author":"Faruqui","year":"2010","journal-title":"Energy"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1016\/j.enbuild.2015.07.010","article-title":"A case study on the individual energy use of personal computers in an office setting and assessment of various feedback types toward energy savings","volume":"104","author":"Kamilaris","year":"2015","journal-title":"Energy Build."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Chen, D., Barker, S., Subbaswamy, A., Irwin, D., and Shenoy, P. (2013, January 11\u201315). Non-intrusive occupancy monitoring using smart meters. Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings, Roma, Italy.","DOI":"10.1145\/2528282.2528294"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"16838","DOI":"10.3390\/s121216838","article-title":"Non-intrusive load monitoring approaches for disaggregated energy sensing: A survey","volume":"12","author":"Zoha","year":"2012","journal-title":"Sensors"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/j.enbuild.2016.03.059","article-title":"Building energy metering and environmental monitoring\u2013A state-of-the-art review and directions for future research","volume":"120","author":"Ahmad","year":"2016","journal-title":"Energy Build."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"170","DOI":"10.1016\/j.buildenv.2013.03.025","article-title":"Methods for detailed energy data collection of miscellaneous and electronic loads in a commercial office building","volume":"65","author":"Lanzisera","year":"2013","journal-title":"Build. Environ."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"244","DOI":"10.1016\/j.enbuild.2012.09.005","article-title":"Energy intelligent buildings based on user activity: A survey","volume":"56","author":"Nguyen","year":"2013","journal-title":"Energy Build."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Agarwal, Y., Balaji, B., Gupta, R., Lyles, J., Wei, M., and Weng, T. (2010). Occupancy-driven energy management for smart building automation. Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building, Zurich, Switzerland, 3\u20135 November 2010, ACM.","DOI":"10.1145\/1878431.1878433"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1016\/j.jenvp.2008.10.004","article-title":"Encouraging pro-environmental behaviour: An integrative review and research agenda","volume":"29","author":"Steg","year":"2009","journal-title":"J. Environ. Psychol."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1108\/14676371011010011","article-title":"The human dimension of energy conservation and sustainability: A case study of the University of Michigan\u2019s energy conservation program","volume":"11","author":"Marans","year":"2010","journal-title":"Int. J. Sustain. High. Educ."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1016\/j.jenvp.2007.08.002","article-title":"The effect of tailored information, goal setting, and tailored feedback on household energy use, energy-related behaviors, and behavioral antecedents","volume":"27","author":"Abrahamse","year":"2007","journal-title":"J. Environ. Psychol."},{"key":"ref_16","unstructured":"Darby, S. (2006). The Effectiveness of Feedback on Energy Consumption. A Review for DEFRA of the Literature on Metering, Billing and Direct Displays, Environmental Change Institute, University of Oxford."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1007\/s12053-008-9009-7","article-title":"Feedback on household electricity consumption: A tool for saving energy?","volume":"1","author":"Fischer","year":"2008","journal-title":"Energy Effic."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"4095","DOI":"10.1016\/j.rser.2012.03.034","article-title":"Energy behaviours as promoters of energy efficiency: A 21st century review","volume":"16","author":"Lopes","year":"2012","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_19","unstructured":"Neenan, B., Robinson, J., and Boisvert, R. (2009). Residential Electricity Use Feedback: A Research Synthesis and Economic Framework, Electric Power Research Institute."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"4449","DOI":"10.1016\/j.enpol.2008.09.027","article-title":"Promoting household energy conservation","volume":"36","author":"Steg","year":"2008","journal-title":"Energy Policy"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Conti, J., Holtberg, P., Diefenderfer, J., LaRose, A., Turnure, J.T., and Westfall, L. (2016). International Energy Outlook 2016 with Projections to 2040.","DOI":"10.2172\/1296780"},{"key":"ref_22","unstructured":"(2018, March 19). EU Energy Markets in 2014. Available online: https:\/\/publications.europa.eu\/s\/fX3t."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Fichman, B.T. (2012). Annual Energy Review 2011.","DOI":"10.2172\/1212312"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Garc\u00eda, \u00d3., Alonso, R.S., Prieto, J., and Corchado, J.M. (2017). Energy Efficiency in Public Buildings through Context-Aware Social Computing. Sensors, 17.","DOI":"10.3390\/s17040826"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Amaxilatis, D., Akrivopoulos, O., Mylonas, G., and Chatzigiannakis, I. (2017). An IoT-Based Solution for Monitoring a Fleet of Educational Buildings Focusing on Energy Efficiency. Sensors, 17.","DOI":"10.3390\/s17102296"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Fotopoulou, E., Zafeiropoulos, A., Terroso-S\u00e1enz, F., \u015eim\u015fek, U., Gonz\u00e1lez-Vidal, A., Tsiolis, G., Gouvas, P., Liapis, P., Fensel, A., and Skarmeta, A. (2017). Providing Personalized Energy Management and Awareness Services for Energy Efficiency in Smart Buildings. Sensors, 17.","DOI":"10.3390\/s17092054"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"598","DOI":"10.1016\/j.rser.2016.11.132","article-title":"Data science for building energy management: A review","volume":"70","author":"Ros","year":"2017","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1016\/j.energy.2014.08.027","article-title":"Integrating persuasive technology with energy delegates for energy conservation and carbon emission reduction in a university campus","volume":"76","author":"Emeakaroha","year":"2014","journal-title":"Energy"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1108\/14676370710717562","article-title":"Dormitory residents reduce electricity consumption when exposed to real-time visual feedback and incentives","volume":"8","author":"Petersen","year":"2007","journal-title":"Int. J. Sustain. High. Educ."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jenvp.2010.11.004","article-title":"Motivating energy conservation in the workplace: An evaluation of the use of group-level feedback and peer education","volume":"31","author":"Carrico","year":"2011","journal-title":"J. Environ. Psychol."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1016\/j.enbuild.2009.08.009","article-title":"The dark side of occupants\u2019 behaviour on building energy use","volume":"42","author":"Masoso","year":"2010","journal-title":"Energy Build."},{"key":"ref_32","unstructured":"Chiaraviglio, L., and Mellia, M. (2010, January 23\u201325). Polisave: Efficient Power Management of Campus PCs. Proceedings of the 18th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2010), Bol, Croatia."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Agarwal, Y., Weng, T., and Gupta, R.K. (2009, January 3). The energy dashboard: Improving the visibility of energy consumption at a campus-wide scale. Proceedings of the First ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings, Berkeley, CA, USA.","DOI":"10.1145\/1810279.1810292"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/j.enpol.2014.12.008","article-title":"The question of energy reduction: The problem (s) with feedback","volume":"77","author":"Buchanan","year":"2015","journal-title":"Energy Policy"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/18\/5\/1606\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:04:44Z","timestamp":1760195084000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/18\/5\/1606"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,5,17]]},"references-count":34,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2018,5]]}},"alternative-id":["s18051606"],"URL":"https:\/\/doi.org\/10.3390\/s18051606","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2018,5,17]]}}}