Jide Niu 
- (2024): Optimizing operation strategy for geothermal cascade utilization heating system using calibrated full-performance model. Dans: Journal of Building Engineering, v. 98 (décembre 2024).
- (2025): A learning-based model predictive control method for unlocking the potential of building energy flexibility. Dans: Energy and Buildings, v. 330 (mars 2025).
- (2024): A study on source domain selection for transfer learning-based cross-building cooling load prediction. Dans: Energy and Buildings, v. 324 (décembre 2024).
- (2024): A baseline model combining physics and data-driven approach for operation evaluation of district heating substation. Dans: Energy and Buildings, v. 321 (octobre 2024).
- (2024): An evidence theory-based uncertainty quantification method of building thermal parameters for accurate reliability assessment of building air-conditioning design loads. Dans: Energy and Buildings, v. 319 (septembre 2024).
- (2024): A comprehensive evaluation framework for building energy systems considering economic efficiency, independence, and building–grid interaction performance indicators. Dans: Energy and Buildings, v. 318 (septembre 2024).
- (2024): Grey-box modeling for thermal dynamics of buildings under the presence of unmeasured internal heat gains. Dans: Energy and Buildings, v. 314 (juillet 2024).
- (2024): A three-dimensional evaluation method for building energy systems to guide power grid-friendly interactions during the planning and operational stages. Dans: Journal of Building Engineering, v. 86 (juin 2024).
- (2023): Hybrid uncertainty quantification method of internal disturbance parameters for reliability assessment of building air-conditioning design load. Dans: Energy and Buildings, v. 299 (novembre 2023).
- (2023): Load extraction from actual operation data for data-driven ultra-short-term room air-conditioning load prediction. Dans: Energy and Buildings, v. 296 (octobre 2023).
- (2023): Experimental study on performance assessments of HVAC cross-domain fault diagnosis methods oriented to incomplete data problems. Dans: Building and Environment, v. 236 (mai 2023).
- (2023): Energy-saving potential analysis for a 24-hour operating chiller plant using the model-based global optimization method. Dans: Journal of Building Engineering, v. 69 (juin 2023).
- (2023): A stochastic interior disturbance parameter model considering double uncertainty for probabilistic load calculation. Dans: Energy and Buildings, v. 285 (avril 2023).
- (2023): Imbalanced data-oriented model learning method for ultra-short-term air conditioning load prediction. Dans: Energy and Buildings, v. 286 (mai 2023).
- (2022): A study on transfer learning in enhancing performance of building energy system fault diagnosis with extremely limited labeled data. Dans: Building and Environment, v. 225 (novembre 2022).
- (2022): Method of constructing stochastic near-extreme daily weather data for efficient calculation of probabilistic load in air-conditioning system design. Dans: Building and Environment, v. 221 (août 2022).
- (2022): Research on design day generation method for air-conditioning system design considering the coincidence of hourly variation coefficient. Dans: Energy and Buildings, v. 270 (septembre 2022).
- (2022): An energy performance assessment method for district heating substations based on energy disaggregation. Dans: Energy and Buildings, v. 255 (janvier 2022).
- (2020): Applicability analysis of solar heating system in China based on a reliability-based optimization method for auxiliary heater capacity. Dans: Sustainable Cities and Society, v. 53 (février 2020).
- (2014): Establishment and experimental validation of a dynamic heat transfer model for concrete radiant cooling slab based on reaction coefficient method. Dans: Energy and Buildings, v. 82 (octobre 2014).
- (2020): Improving the design method of a solar heating system considering weather uncertainty and system reliability. Dans: Energy and Buildings, v. 208 (février 2020).
- (2019): Identification and evaluation of operation regulation strategies in district heating substations based on an unsupervised data mining method. Dans: Energy and Buildings, v. 202 (novembre 2019).
- (2019): GMM clustering for heating load patterns in-depth identification and prediction model accuracy improvement of district heating system. Dans: Energy and Buildings, v. 190 (mai 2019).
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