| 1 |
A novel ensemble learning approach to support building energy use prediction
Wang ZY, Wang YR, Srinivasan RS
Energy and Buildings, 159, 109, 2018 |
| 2 |
Maximum efficiency and parametric optimum selection of a concentrated solar spectrum splitting photovoltaic cell-thermoelectric generator system
Yang ZM, Li WY, Chen XH, Su SH, Lin GX, Chen JC
Energy Conversion and Management, 174, 65, 2018 |
| 3 |
Robust batch-to-batch optimization in the presence of model-plant mismatch and input uncertainty
Hille R, Mandur J, Budman HM
AIChE Journal, 63(7), 2660, 2017 |
| 4 |
Modeling of a hybrid ejector air conditioning system using artificial neural networks
Wang H, Cai WJ, Wang YY
Energy Conversion and Management, 127, 11, 2016 |
| 5 |
Process parameter selection study on SiNx:H films by PECVD method for silicon solar cells
Wu XS, Zhang ZF, Liu Y, Chu XN, Li YP
Solar Energy, 111, 277, 2015 |
| 6 |
On the influence of temperature on crystalline silicon solar cell characterisation parameters
Ghani F, Rosengarten G, Duke M, Carson JK
Solar Energy, 112, 437, 2015 |
| 7 |
Parameter Set Selection for Dynamic Systems under Uncertainty via Dynamic Optimization and Hierarchical Clustering
Dai W, Bansal L, Hahn J, Word D
AIChE Journal, 60(1), 181, 2014 |
| 8 |
Generalization of a parameter set selection procedure based on orthogonal projections and the D-optimality criterion
Chu YF, Hahn J
AIChE Journal, 58(7), 2085, 2012 |
| 9 |
Performance analysis of four modified approaches for wind speed forecasting
Zhang WY, Wu J, Wang JZ, Zhao WG, Shen L
Applied Energy, 99, 324, 2012 |
| 10 |
A data-driven approach for steam load prediction in buildings
Kusiak A, Li MY, Zhang ZJ
Applied Energy, 87(3), 925, 2010 |
