| Improved solar photovoltaic energy generation forecast using deep learning-based ensemble stacking approach W Khan, S Walker, W Zeiler Energy 240, 122812, 2022 | 169 | 2022 |
| Accuracy of different machine learning algorithms and added-value of predicting aggregated-level energy performance of commercial buildings S Walker, W Khan, K Katic, W Maassen, W Zeiler Energy and Buildings 209, 109705, 2020 | 156 | 2020 |
| Impact assessment of varied data granularities from commercial buildings on exploration and learning mechanism W Khan, JY Liao, S Walker, W Zeiler Applied Energy 319, 119281, 2022 | 12 | 2022 |
| A bottom-up framework for analysing city-scale energy data using high dimension reduction techniques W Khan, S Walker, W Zeiler Sustainable Cities and Society 89, 104323, 2023 | 5 | 2023 |
| Individual EV load profiling and smart charging to flatten total electrical demand W Somers, W Khan, K de Bont, W Zeiler CLIMA 2022 conference, 2022 | 4 | 2022 |
| A novel framework for autoregressive features selection and stacked ensemble learning for aggregated electricity demand prediction of neighborhoods W Khan, S Walker, K Katic, W Zeiler 2020 International Conference on Smart Energy Systems and Technologies (SEST …, 2020 | 4 | 2020 |
| Structural hierarchical learning for energy networks J Leprince, W Khan, H Madsen, JK Møller, W Zeiler arXiv preprint arXiv:2302.03978, 2023 | | 2023 |
Shalika WalkerEindhoven University of Technology, The Netherlands在 tue.nl 的电子邮件经过验证
Shalika WalkerEindhoven University of Technology, The Netherlands在 tue.nl 的电子邮件经过验证