| Towards developing a systematic knowledge trend for building energy consumption prediction Q Qiao, A Yunusa-Kaltungo, RE Edwards Journal of Building Engineering 35, 101967, 2021 | 71 | 2021 |
| A hybrid agent-based machine learning method for human-centred energy consumption prediction Q Qiao, A Yunusa-Kaltungo Energy and Buildings 283, 112797, 2023 | 21 | 2023 |
| Feature selection strategy for machine learning methods in building energy consumption prediction Q Qiao, A Yunusa-Kaltungo, RE Edwards Energy Reports 8, 13621-13654, 2022 | 15 | 2022 |
| Hybrid method for building energy consumption prediction based on limited data Q Qiao, A Yunusa-Kaltungo, R Edwards 2020 IEEE PES/IAS PowerAfrica, 1-5, 2020 | 14 | 2020 |
| Predicting building energy consumption based on meteorological data Q Qiao, A Yunusa-Kaltungo, R Edwards 2020 IEEE PES/IAS PowerAfrica, 1-5, 2020 | 13 | 2020 |
| Developing a machine learning based building energy consumption prediction approach using limited data: Boruta feature selection and empirical mode decomposition REE Qingyao Qiao, Akilu Yunusa-Kaltungo Energy Reports 9 (December 2023), 3643-3660, 2023 | 7 | 2023 |
| An interpretable multi-stage forecasting framework for energy consumption and CO2 emissions for the transportation sector Q Qiao, H Eskandari, H Saadatmand, MA Sahraei Energy 286, 129499, 2024 | 4 | 2024 |
| Predicting building energy consumption during holiday periods Q Qiao, A Yunusa-Kaltungo, R Edwards 2021 IEEE PES/IAS PowerAfrica, 1-5, 2021 | 2 | 2021 |
| Preliminary exploration of factors affecting building energy consumption prediction Q Qiao, A Yunusa-Kaltungo, R Edwards 2021 IEEE PES/IAS PowerAfrica, 1-5, 2021 | 1 | 2021 |
| Compressive and flexural strength of high strength phase change mortar Q Qiao, C Fang AIP Conference Proceedings 1955 (1), 020024, 2018 | 1 | 2018 |
| Architectural Design and Epidemic Prevalence: Insights from Hong Kong’s Fifth Wave Q Qiao, C Sarkar, E Schuldenfrei, KY Lai, Y Zhou, C Webster Building and Environment, 111516, 2024 | | 2024 |
| The transmission of COVID-19 in construction: A systematic review of findings from statistical and modelling techniques R Cao, C Cheung, A Yunusa-Kaltungo, P Manu, C Liu, Q Qiao Construction Safety, Health and Well-being in the COVID-19 era, 15-27, 2024 | | 2024 |
| An interactive agent-based modelling framework for assessing COVID-19 transmission risk on construction site Q Qiao, C Cheung, A Yunusa-Kaltungo, P Manu, R Cao, Z Yuan Safety Science 168, 106312, 2023 | | 2023 |
| The transmission of COVID-19 in construction R Cao, C Cheung, A Yunusa-Kaltungo, P Manu, C Liu, Q Qiao Construction Safety, Health and Well-being in the COVID-19 era, 2023 | | 2023 |
| PROTECT-A COVID-19 National Core Study: Keeping the UK building safely 2 N Bourne, R Cao, C Cheung, S Clarke, W Collinge, A Hartwig, A Howells, ... | | 2022 |
| Development of a holistic machine learning-based approach for building energy consumption prediction under limited data conditions Q Qiao University of Manchester, 2022 | | 2022 |
| Preliminary exploration of recursive feature elimination and empirical decomposition for building energy consumption prediction Q Qiao, A Yunusa-Kaltungo, R Edwards International Symposium on Reliability Engineering and Risk Management4–7 …, 2022 | | 2022 |
Akilu Yunusa-Kaltungo (PhD, MSc, CE...Reader in Reliability & Maintenance Engineering, Department of Mechanical, Aerospace andVerified email at manchester.ac.uk
