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