| 1 |
A novel methodology to explain and evaluate data-driven building energy performance models based on interpretable machine learning
Fan C, Xiao F, Yan CC, Liu CL, Li ZD, Wang JY
Applied Energy, 235, 1551, 2019 |
| 2 |
Analytical investigation of autoencoder-based methods for unsupervised anomaly detection in building energy data
Fan C, Xiao F, Zhao Y, Wang JY
Applied Energy, 211, 1123, 2018 |
| 3 |
Discovering gradual patterns in building operations for improving building energy efficiency
Fan C, Sun YJ, Shan K, Xiao F, Wang JY
Applied Energy, 224, 116, 2018 |
| 4 |
Unsupervised data analytics in mining big building operational data for energy efficiency enhancement: A review
Fan C, Xiao F, Li ZD, Wang JY
Energy and Buildings, 159, 296, 2018 |
| 5 |
Analysis of operational performance of a mechanical ventilation cooling system with latent thermal energy storage
Santos T, Wines C, Hopper N, Kolokotroni M
Energy and Buildings, 159, 529, 2018 |
| 6 |
A comparative study of bacterial and fungal-bacterial steady-state stages of a biofilter in gaseous toluene removal: performance and microbial community
Zhai J, Shi P, Wang Z, Jiang HT, Long C
Journal of Chemical Technology and Biotechnology, 92(11), 2853, 2017 |
| 7 |
Dynamic quantitative operational risk assessment of chemical processes
Wang HZ, Khan F, Ahmed S, Imtiaz S
Chemical Engineering Science, 142, 62, 2016 |
| 8 |
Operational performance of a novel heat pump assisted solar facade loop-heat-pipe water heating system
He W, Hong XQ, Zhao XD, Zhang XX, Shen JC, Ji J
Applied Energy, 146, 371, 2015 |
| 9 |
Demonstration of the operation and performance of a pressurised alkaline electrolyser operating in the hydrogen fuelling station in Porsgrunn, Norway
Kiaee M, Cruden A, Chladek P, Infield D
Energy Conversion and Management, 94, 40, 2015 |
| 10 |
Study on energy saving possibility of digital variable multiple air conditioning system in three office buildings in Shanghai
Zhang DL, Zhang X, Cai N
Energy and Buildings, 75, 23, 2014 |
