{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T18:37:49Z","timestamp":1771267069204,"version":"3.50.1"},"reference-count":43,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2023,4,10]],"date-time":"2023-04-10T00:00:00Z","timestamp":1681084800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"I + D + i project PID2019-108761RB-I00","award":["MCIN\/AEI\/10.13039\/501100011033"],"award-info":[{"award-number":["MCIN\/AEI\/10.13039\/501100011033"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Buildings"],"abstract":"<jats:p>Providing suitable indoor thermal conditions in educational buildings is crucial to ensuring the performance and well-being of students. International standards and building codes state that thermal conditions should be considered during the indoor design process and sizing of heating, ventilation and air conditioning systems. Clothing insulation is one of the main factors influencing the occupants\u2019 thermal perception. In this context, a field survey was conducted in higher education buildings to analyse and evaluate the clothing insulation of university students. The results showed that the mean clothing insulation values were 0.60 clo and 0.72 clo for male and female students, respectively. Significant differences were found between seasons. Correlations were found between indoor and outdoor air temperature, radiant temperature, the temperature measured at 6 a.m., and running mean temperature. Based on the collected data, a predictive clothing insulation model, based on an artificial neural network (ANN) algorithm, was developed using indoor and outdoor air temperature, radiant temperature, the temperature measured at 6 a.m. and running mean temperature, gender, and season as input parameters. The ANN model showed a performance of R2 = 0.60 and r = 0.80. Fifty percent of the predicted values differed by less than 0.1 clo from the actual value, whereas this percentage only amounted to 32% if the model defined in the ASHRAE-55 Standard was applied.<\/jats:p>","DOI":"10.3390\/buildings13041002","type":"journal-article","created":{"date-parts":[[2023,4,11]],"date-time":"2023-04-11T01:33:03Z","timestamp":1681176783000},"page":"1002","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Predictive Model of Clothing Insulation in Naturally Ventilated Educational Buildings"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1657-1572","authenticated-orcid":false,"given":"Mar\u00eda L.","family":"de la Hoz-Torres","sequence":"first","affiliation":[{"name":"Department of Building Construction, University of Granada, Av. Severo Ochoa s\/n, 18071 Granada, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5045-8560","authenticated-orcid":false,"given":"Antonio J.","family":"Aguilar","sequence":"additional","affiliation":[{"name":"Department of Building Construction, University of Granada, Av. Severo Ochoa s\/n, 18071 Granada, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9348-8038","authenticated-orcid":false,"given":"N\u00e9lson","family":"Costa","sequence":"additional","affiliation":[{"name":"ALGORITMI Research Center, School of Engineering, University of Minho, 4800-058 Guimar\u00e3es, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9421-9123","authenticated-orcid":false,"given":"Pedro","family":"Arezes","sequence":"additional","affiliation":[{"name":"ALGORITMI Research Center, School of Engineering, University of Minho, 4800-058 Guimar\u00e3es, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5559-7383","authenticated-orcid":false,"given":"Diego P.","family":"Ruiz","sequence":"additional","affiliation":[{"name":"Department of Applied Physics, University of Granada, Av. Severo Ochoa s\/n, 18071 Granada, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9292-5048","authenticated-orcid":false,"given":"M\u00aa Dolores","family":"Mart\u00ednez-Aires","sequence":"additional","affiliation":[{"name":"Department of Building Construction, University of Granada, Av. Severo Ochoa s\/n, 18071 Granada, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2023,4,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Nguyen, X.P., Hoang, A.T., \u00d6l\u00e7er, A.I., and Huynh, T.T. (2021). Record decline in global CO2 emissions prompted by COVID-19 pandemic and its implications on future climate change policies. Energy Sources A Recovery Util. Environ. 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