1 |
A new frosting map of variable-frequency air source heat pump in severe cold region considering the variation of heating load Wei WZ, Ni L, Li SY, Wang W, Yao Y, Xu LF, Yang YH Renewable Energy, 161, 184, 2020 |
2 |
Multi-objective optimisation approach for campus energy plant operation based on building heating load scenarios Ding Y, Wang QC, Kong XF, Yang K Applied Energy, 250, 1600, 2019 |
3 |
Thermal and energy performance of two distinct green roofs: Temporal pattern and underlying factors in a subtropical climate Peng LLH, Yang XS, He YF, Hu ZY, Xu TJ, Jiang ZD, Yao LY Energy and Buildings, 185, 247, 2019 |
4 |
GMM clustering for heating load patterns in-depth identification and prediction model accuracy improvement of district heating system Lu YK, Tian Z, Peng P, Niu JD, Li WC, Zhang HJ Energy and Buildings, 190, 49, 2019 |
5 |
Theoretical and experimental study on selection of physical dimensions of passive solar greenhouses for enhanced energy performance Chen C, Yu N, Yang FG, Mahkamov K, Han FT, Li YR, Ling HS Solar Energy, 191, 46, 2019 |
6 |
Study on the utilization of heat in the mechanically ventilated Trombe wall in a house with a central air conditioning and air circulation system Ma QS, Fukuda H, Lee M, Kobatake T, Kuma Y, Ozaki A Applied Energy, 222, 861, 2018 |
7 |
Predicting heating demand and sizing a stratified thermal storage tank using deep learning algorithms Rahman A, Smith AD Applied Energy, 228, 108, 2018 |
8 |
Model input selection for building heating load prediction: A case study for an office building in Tianjin Ding Y, Zhang Q, Yuan TH, Yang K Energy and Buildings, 159, 254, 2018 |
9 |
A novel method based on extreme learning machine to predict heating and cooling load through design and structural attributes Kumar S, Pal SK, Singh RP Energy and Buildings, 176, 275, 2018 |
10 |
A hybrid method of dynamic cooling and heating load forecasting for office buildings based on artificial intelligence and regression analysis Zhao J, Liu XJ Energy and Buildings, 174, 293, 2018 |