| A hierarchical object oriented Bayesian network-based fault diagnosis method for building energy systems T Li, Y Zhou, Y Zhao, C Zhang, X Zhang Applied Energy 306, 118088, 2022 | 47 | 2022 |
| Data sharing in energy systems J Wang, F Gao, Y Zhou, Q Guo, CW Tan, J Song, Y Wang Advances in Applied Energy 10, 100132, 2023 | 46 | 2023 |
| Elastic weight consolidation-based adaptive neural networks for dynamic building energy load prediction modeling Y Zhou, X Tian, C Zhang, Y Zhao, T Li Energy and Buildings 265, 112098, 2022 | 29 | 2022 |
| Causal discovery-based external attention in neural networks for accurate and reliable fault detection and diagnosis of building energy systems C Zhang, X Tian, Y Zhao, T Li, Y Zhou, X Zhang Building and Environment 222, 109357, 2022 | 26 | 2022 |
| A real-time abnormal operation pattern detection method for building energy systems based on association rule bases C Zhang, Y Zhao, Y Zhou, X Zhang, T Li Building Simulation 15 (1), 69-81, 2022 | 25 | 2022 |
| Update scheduling for ADMM-based energy sharing in virtual power plants considering massive prosumer access C Feng, K Zheng, Y Zhou, P Palensky, Q Chen IEEE Transactions on Smart Grid 14 (5), 3961-3975, 2023 | 22 | 2023 |
| Improving load forecasting performance via sample reweighting C Wang, Y Zhou, Q Wen, Y Wang IEEE Transactions on Smart Grid 14 (4), 3317-3320, 2023 | 15 | 2023 |
| Can cross-sector information improve multi-energy demand forecasting accuracy? Y Zhou, X Cui Energy Reports 9, 886-893, 2023 | 6 | 2023 |
| Load data valuation in multi-energy systems: An end-to-end approach Y Zhou, Q Wen, J Song, X Cui, Y Wang IEEE Transactions on Smart Grid, 2024 | 4 | 2024 |
| Interpretable Load Forecasting via Representation Learning of Geo-distributed Meteorological Factors Y Zhou, G Lin, G Zhang, Y Wang arXiv preprint arXiv:2501.02241, 2025 | | 2025 |
Chaobo Zhang (章超波）Department of the Built Environment, Eindhoven University of TechnologyPreverjeni e-poštni naslov na tue.nl