Jiangyu Wang
- (2020): A comparison study of basic data-driven fault diagnosis methods for variable refrigerant flow system. In: Energy and Buildings, v. 224 (October 2020).
- (2017): Identification and isolation of outdoor fouling faults using only built-in sensors in variable refrigerant flow system: A data mining approach. In: Energy and Buildings, v. 146 (July 2017).
- (2017): Optimization of support vector regression model based on outlier detection methods for predicting electricity consumption of a public building WSHP system. In: Energy and Buildings, v. 151 (September 2017).
- (2018): A comprehensive overview on the data driven and large scale based approaches for forecasting of building energy demand: A review. In: Energy and Buildings, v. 165 (April 2018).
- (2019): Data-driven model predictive control for building climate control: Three case studies on different buildings. In: Building and Environment, v. 160 (August 2019).
- (2019): A novel efficient optimization algorithm for parameter estimation of building thermal dynamic models. In: Building and Environment, v. 153 (April 2019).
- (2019): Improving prediction performance for indoor temperature in public buildings based on a novel deep learning method. In: Building and Environment, v. 148 (January 2019).
Structurae cooperates with
