| Experimental and numerical investigation of energy saving potential of centralized and decentralized pumping systems M Liu, R Ooka, W Choi, S Ikeda Applied Energy 251, 113359, 2019 | 30 | 2019 |
| Adversarial discriminative domain adaptation for solar radiation prediction: A cross-regional study for zero-label transfer learning in Japan Y Gao, Z Hu, S Shi, WA Chen, M Liu Applied Energy 359, 122685, 2024 | 18 | 2024 |
| Quantification of HVAC energy savings through occupancy presence sensors in an apartment setting: Field testing and inverse modeling approach Z Pang, M Guo, B Smith-Cortez, Z O'Neill, Z Yang, M Liu, B Dong Energy and Buildings 302, 113752, 2024 | 17 | 2024 |
| Development of distributed multiple‐source and multiple‐use heat pump system using renewable energy: Outline of test building and experimental evaluation of cooling and heating … M Liu, T Hino, R Ooka, K Wen, W Choi, D Lee, S Ikeda Japan Architectural Review 4 (1), 241-252, 2021 | 11 | 2021 |
| Unraveling the complexities: Impacts of energy burden on the built environment challenges among assistance-dependent populations in the United Kingdom WA Chen, C Chen, M Liu, R Rickard Building and Environment 254, 111385, 2024 | 10 | 2024 |
| Expert-guided imitation learning for energy management: Evaluating GAIL’s performance in building control applications M Liu, M Guo, Y Fu, Z O’Neill, Y Gao Applied Energy 372, 123753, 2024 | 6 | 2024 |
| Multi-domain power and thermo-fluid system stability modeling using modelica and openipsl F Fachini, M De Castro, M Liu, T Bogodorova, L Vanfretti, W Zuo 2022 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2022 | 5 | 2022 |
| A revolutionary neural network architecture with interpretability and flexibility based on Kolmogorov–Arnold for solar radiation and temperature forecasting Y Gao, Z Hu, WA Chen, M Liu, Y Ruan Applied Energy 378, 124844, 2025 | 4 | 2025 |
| Solutions to the insufficiency of label data in renewable energy forecasting: A comparative and integrative analysis of domain adaptation and fine-tuning Y Gao, Z Hu, WA Chen, M Liu Energy 302, 131863, 2024 | 4 | 2024 |
| Temperature control strategies for fifth generation district heating and cooling systems: A review and case study Y Zhang, M Liu, Z O'Neill, J Wen Applied Energy 376, 124156, 2024 | 3 | 2024 |
| Experimental performance analysis of a multiple-source and multiple-use heat pump system: winter field experiment and heating operation performance evaluation M Liu, R Ooka, T Hino, K Wen, W Choi, D Lee, S Ikeda, DR Palasz E3S Web of Conferences 111, 01076, 2019 | 3 | 2019 |
| Flexibility justice: Exploring the relationship between electrical vehicle charging behaviors, demand flexibility and psychological factors WA Chen, CF Chen, S Tomasik, E Pournaras, M Liu Energy Research & Social Science 118, 103753, 2024 | 2 | 2024 |
| Investigations on the Influence of Model Accuracy in Deep Reinforcement Learning Control for HVAC Applications M Guo, Y Fu, M Liu, Z O’Neill 2024 ASHRAE Winter Conference, 2024 | 1 | 2024 |
| Model free control for non-uniform indoor environment using reinforcement learning M Liu, Y Fu, Z O'Neill ASHRAE Transactions 129, 39-42, 2023 | 1 | 2023 |
| Model-based Characterization of Heat Pump-Thermal Energy Storage Systems for Grid-Interactive Services W Jia, PE Zheng O'Neill PhD ASHRAE Transactions 129, 840-848, 2023 | 1 | 2023 |
| 再生可能エネルギー利用のための水循環・分散型ヒートポンプシステムの開発 (第 10 報) 冬期運転試験及び実測による暖房運転性能評価 劉明哲， 大岡龍三， 日野俊之， 文可， 崔元準， 李度胤， 池田伸太郎 空気調和・衛生工学会大会 学術講演論文集 平成 30 年度大会 (名古屋) 学術講演論 …, 2018 | 1 | 2018 |
| Energy resilience in the built environment: A comprehensive review of concepts, metrics, and strategies M Wei, Z Jiang, P Pandey, M Liu, R Li, Z O'Neill, B Dong, M Hamdy Renewable and Sustainable Energy Reviews 210, 115258, 2025 | | 2025 |
| Long-Term field testing of the accuracy and HVAC energy savings potential of occupancy presence sensors in A Single-Family home Z Pang, M Guo, Z O’Neill, B Smith-Cortez, Z Yang, M Liu, B Dong Energy and Buildings 328, 115161, 2025 | | 2025 |
| Quantitative analysis of energy justice in demand response: Insights from real residential data in Texas, USA Y Gao, M Liu, Z Hu, S Yamate, J Otomo, WA Chen, Z O’Neill Renewable Energy, 122477, 2025 | | 2025 |
| Unlocking predictive insights and interpretability in deep reinforcement learning for Building-Integrated Photovoltaic and Battery (BIPVB) systems Y Gao, Z Hu, S Yamate, J Otomo, WA Chen, M Liu, T Xu, Y Ruan, J Shang Applied Energy, 125387, 2025 | | 2025 |
Zheng O'Neill, Professor, PhD, PETexas A&M UniversityВерификована је имејл адреса на tamu.edu
