| Self-learning algorithm to predict indoor temperature and cooling demand from smart WiFi thermostat in a residential building K Huang, KP Hallinan, R Lou, A Alanezi, S Alshatshati, Q Sun Sustainability 12 (17), 7110, 2020 | 22 | 2020 |
| Uncertainty management in electricity demand forecasting with machine learning and ensemble learning: Case studies of COVID-19 in the US metropolitans MR Baker, KH Jihad, H Al-Bayaty, A Ghareeb, H Ali, JK Choi, Q Sun Engineering Applications of Artificial Intelligence 123, 106350, 2023 | 11 | 2023 |
| Estimating smart wi-fi thermostat-enabled Thermal Comfort Control Savings for any residence AD Alhamayani, Q Sun, KP Hallinan Clean Technologies 3 (4), 743-760, 2021 | 10 | 2021 |
| Smart Wi-Fi physics-informed thermostat enabled estimation of residential passive solar heat gain for any residence Q Sun, A Alhamayani, K Huang, L Hao, K Hallinan, A Ghareeb Energy and Buildings 261, 111934, 2022 | 5 | 2022 |
| An Improved Method to Estimate Savings from Thermal Comfort Control in Residences from Smart Wi-Fi Thermostat Data AD Alhamayani, Q Sun, KP Hallinan Clean Technologies 4 (2), 395-406, 2022 | 2 | 2022 |
| How COVID-19 Impacted CO2 Emissions Based on Electricity Usage: A Machine Learning Approach Q Sun, A Zela-Koort, A Stokes, S Alshatshati Journal of Energy & Technology (JET) 1 (2), 24-29, 2021 | 1 | 2021 |
| Data Analysis in Energy Q Sun University of Dayton, 2022 | | 2022 |
