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These changes pose challenges for individuals seeking indoor comfort, particularly in workplaces and schools. Occupants often struggle with extreme temperatures, leading to increased energy consumption due to excessive use of air conditioners and heaters. In this work, we propose a novel edge machine learning-based smart controller for air conditioners to maintain user-preferred thermal comfort levels while minimizing energy consumption. The trained long short-term memory model is embedded in a mobile application designed to predict the predicted mean vote (PMV) based on temperature setpoints and the PMV index. Through this mobile application, personalized parameters such as clothing insulation, metabolic rate, and other environmental factors are communicated to the controller. The performance of the smart controller in maintaining PMV-based temperature setpoints for cooling is compared with fixed setpoints. The results reveal that by utilizing PMV-based setpoints for male occupants, the smart controller reduces energy consumption by 38.14% compared to a fixed setpoint of 26\u00b0C and by 60.68% compared to 25\u00b0C, while maintaining the user-preferred thermal comfort level.<\/jats:p>","DOI":"10.1177\/18761364251343316","type":"journal-article","created":{"date-parts":[[2025,6,3]],"date-time":"2025-06-03T04:14:06Z","timestamp":1748924046000},"page":"376-391","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["Enhancing thermal comfort and sustainability in building energy management through edge machine learning-enabled smart controllers"],"prefix":"10.1177","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-7051-4467","authenticated-orcid":false,"given":"Muhammad","family":"Tamoor Khan","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, COMSATS University Islamabad, Lahore Campus, Punjab, Pakistan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hassaan","family":"Saleem","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, COMSATS University Islamabad, Lahore Campus, Punjab, Pakistan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Malka","family":"Rania Iqbal","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, COMSATS University Islamabad, Lahore Campus, Punjab, Pakistan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muhammad","family":"Shahzaib Shahid","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, COMSATS University Islamabad, Lahore Campus, Punjab, Pakistan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9243-4364","authenticated-orcid":false,"given":"Abbas","family":"Javed","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, COMSATS University Islamabad, Lahore Campus, Punjab, Pakistan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1358-6085","authenticated-orcid":false,"given":"Muhammad","family":"Nadeem","sequence":"additional","affiliation":[{"name":"College of Engineering and Technology, American University of the Middle East, Kuwait"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3321-8538","authenticated-orcid":false,"given":"Saleem","family":"Akhtar","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, COMSATS University Islamabad, Lahore Campus, Punjab, Pakistan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2025,6,3]]},"reference":[{"key":"e_1_3_3_2_1","unstructured":"Building energy code of Pakistan. 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