81 |
Constructing global models from past publications to improve design and operating conditions for direct alcohol fuel cells Tapan NA, Gunay ME, Yildirim R Chemical Engineering Research & Design, 105, 162, 2016 |
82 |
Forecasting electric demand of supply fan using data mining techniques Le Cam M, Daoud A, Zmeureanu R Energy, 101, 541, 2016 |
83 |
Energy consumption predicting model of VRV (Variable refrigerant volume) system in office buildings based on data mining Zhao DY, Zhong M, Zhang X, Su X Energy, 102, 660, 2016 |
84 |
Deciding on the support schemes for upcoming wind farms in competitive electricity markets Zamani-Dehkordi P, Rakai L, Zareipour H Energy, 116, 8, 2016 |
85 |
Generation of realistic scenarios for multi-agent simulation of electricity markets Silva F, Teixeira B, Pinto T, Santos G, Vale Z, Praca I Energy, 116, 128, 2016 |
86 |
Recognition of air-conditioner operation from indoor air temperature and relative humidity by a data mining approach Zhou H, Qiao LF, Jiang Y, Sun HJ, Chen QY Energy and Buildings, 111, 233, 2016 |
87 |
A preliminary research on the derivation of typical occupant behavior based on large-scale questionnaire surveys Feng XH, Yan D, Wang C, Sun HS Energy and Buildings, 117, 332, 2016 |
88 |
The performance prediction of ground source heat pump system based on monitoring data and data mining technology Yan L, Hu PF, Li CH, Yao Y, Xing L, Lei F, Zhu N Energy and Buildings, 127, 1085, 2016 |
89 |
Estimating occupancy in heterogeneous sensor environment Amayri M, Arora A, Ploix S, Bandhyopadyay S, Ngo QD, Badarla VR Energy and Buildings, 129, 46, 2016 |
90 |
Linear and non-linear autoregressive models for short-term wind speed forecasting Lydia M, Kumar SS, Selvakumar AI, Kumar GEP Energy Conversion and Management, 112, 115, 2016 |