Cheng Fan
University of North Carolina at Chapel Hill(US)American Petroleum Institute(US)Shenyang University of Technology(CN)Shenzhen University(CN)Shijiazhuang University(CN)Chinese Academy of Medical Sciences & Peking Union Medical College(CN)Musashino University(JP)Great Ormond Street Hospital(GB)Peking Union Medical College Hospital(CN)Shanghai Institute of Materia Medica(CN)Xi’an University of Posts and Telecommunications(CN)Fujian Institute of Subtropical Botany(CN)Sichuan Research Center of New Materials(CN)University College London(GB)
Publications by Year
Research Areas
Building Energy and Comfort Optimization, Energy Load and Power Forecasting, Smart Grid Energy Management, Energy Efficiency and Management, Wind and Air Flow Studies
Most-Cited Works
- → A short-term building cooling load prediction method using deep learning algorithms(2017)660 cited
- → Development of prediction models for next-day building energy consumption and peak power demand using data mining techniques(2014)552 cited
- → A Review on Data Preprocessing Techniques Toward Efficient and Reliable Knowledge Discovery From Building Operational Data(2021)409 cited
- → Assessment of deep recurrent neural network-based strategies for short-term building energy predictions(2018)347 cited
- → Deep learning-based feature engineering methods for improved building energy prediction(2019)284 cited
- → Analytical investigation of autoencoder-based methods for unsupervised anomaly detection in building energy data(2017)272 cited