| Machine Learning, Deep Learning and Statistical Analysis for forecasting building energy consumption—A systematic review M Khalil, AS McGough, Z Pourmirza, M Pazhoohesh, S Walker Engineering Applications of Artificial Intelligence 115, 105287, 2022 | 96 | 2022 |
| Transfer learning approach for occupancy prediction in smart buildings M Khalil, S McGough, Z Pourmirza, M Pazhoohesh, S Walker 2021 12th International renewable engineering conference (IREC), 1-6, 2021 | 38 | 2021 |
| A Multi-task Learning Approach to Short-Term Load-Forecasting for Multiple Energy Loads in an Educational Building M Khalil, S McGough, Z Pourmirza, M Pazhoohesh, S Walker 2022 IEEE International Conference on Advances in Electrical Engineering and …, 2022 | 2 | 2022 |
| Interpretable domain-informed and domain-agnostic features for supervised and unsupervised learning on building energy demand data A Canaydin, C Fu, A Balint, M Khalil, C Miller, H Kazmi Applied Energy 360, 122741, 2024 | 1 | 2024 |
| An Overview of Regulations and Ethics of Artificial Intelligence in the Financial Services: Recent Developments, Current Challenges and Future Perspectives J Geelal, M Khalil, O Samko, R Chung, S Yang | 1 | 2023 |
| The Forecastability of Underlying Building Electricity Demand from Time Series Data M Khalil, AS McGough, H Kazmi, S Walker 2023 IEEE International Conference on Big Data (BigData), 3785-3793, 2023 | | 2023 |
| Emerging Risks and Opportunities of Generative AI for Banks https://www.mas.gov.sg/-/media/mas/news/media-releases/2023/executive …, 2023 | | 2023 |
| A Global Data-driven Forecasting Approach for Buildings Energy Demand Prediction M Khalil, AS McGough, H Kazmi, S Walker 2023 IEEE 6th International Conference on Big Data and Artificial …, 2023 | | 2023 |
Sara Louise WalkerUniversity of BirminghamVerified email at bham.ac.uk
