| Review of developments in whole-building statistical energy consumption models for commercial buildings H Fu, JC Baltazar, DE Claridge Renewable and Sustainable Energy Reviews 147, 111248, 2021 | 70 | 2021 |
| Break-point statistical model for building heating hot water consumption with constant volume reheat systems H Fu, JC Baltazar, DE Claridge Energy and Buildings 206, 109575, 2020 | 8 | 2020 |
| Occupancy analysis in commercial building cooling energy modelling with domestic water and electricity consumption H Fu, S Lee, JC Baltazar, DE Claridge Energy and Buildings 253, 111534, 2021 | 7 | 2021 |
| Use of Domestic Water Consumption as Proxy for Occupancy Level in Building Cooling Energy Model. H Fu, S Lee, JC Baltazar, DE Claridge ASHRAE Transactions 127 (1), 2021 | 6 | 2021 |
| Long-term savings persistence from existing building commissioning and retrofits M Ssembatya, H Fu, DE Claridge Science and Technology for the Built Environment 27 (6), 730-740, 2021 | 5 | 2021 |
| Fan and Pump Efficiency in Modelica based on the Euler Number H Fu, D Blum, M Wetter Modelica Conferences, 19-25, 2022 | 4 | 2022 |
| Break-Point Statistical Formulations for Whole Building Heating Hot Water Consumption Modeling H Fu, JC Baltazar PhD PE, DE Claridge PhD PE PCC ASHRAE Transactions 125, 121-123, 2019 | 4 | 2019 |
| An expanded and updated framework for whole-facility energy consumption statistical models of commercial buildings H Fu | 1 | 2021 |
| A Modelica Implementation of an Organic Rankine Cycle H Fu, E Zanetti, J Hu, D Blum, M Wetter Modelica Conferences, 127-135, 2024 | | 2024 |
| Automated and comprehensive day-type grouping in building energy baseline models with a series of statistical inferences H Fu, JC Baltazar, DE Claridge Science and Technology for the Built Environment 28 (8), 1040-1053, 2022 | | 2022 |
| Identifying Peak and Base Energy Consumption Hour Ranges for Commercial Buildings Using a Non-Parametric Method (CH-18-C007) H Fu, JC Baltazar, D Claridge ASHRAE 2018 Winter Conference, 2018 | | 2018 |
| Commercial Building Hvac Demand Flexibility with Model Predictive Control: Field Demonstration and Literature Insights E Zanetti, DH Blum, H Fu, C Weyandt, M Pritoni, MA Piette Available at SSRN 5116768, 0 | | |
