Jiangyu Wang
- A comparison study of basic data-driven fault diagnosis methods for variable refrigerant flow system. In: Energy and Buildings, v. 224 (Oktober 2020). (2020):
- 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 (Juli 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). (2017):
- 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). (2018):
- 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 (Januar 2019). (2019):