| 1 |
Soft sensor development for improving economic efficiency of the coke dry quenching process
Wang JG, Xie ZT, Yao Y, Yang BH, Ma SW, Liu LL
Journal of Process Control, 77, 20, 2019 |
| 2 |
Short-term wind speed prediction using an extreme learning machine model with error correction
Wang LL, Li X, Bai YL
Energy Conversion and Management, 162, 239, 2018 |
| 3 |
A seasonal direct optimal hybrid model of computational intelligence and soft computing techniques for electricity load forecasting
Chahkoutahi F, Khashei M
Energy, 140, 988, 2017 |
| 4 |
Evaluation of energy saving effects of tiered electricity pricing and investigation of the energy saving willingness of residents
Wu Y, Zhang L
Energy Policy, 109, 208, 2017 |
| 5 |
An estimation model for determining the annual energy cost budget in educational facilities using SARIMA (seasonal autoregressive integrated moving average) and ANN (artificial neural network)
Jeong K, Koo C, Hong T
Energy, 71, 71, 2014 |
| 6 |
Tools for PV (photovoltaic) plant operators: Nowcasting of passing clouds
Paulescu M, Badescu V, Brabec M
Energy, 54, 104, 2013 |
| 7 |
The application of seasonal latent variable in forecasting electricity demand as an alternative method
Sumer KK, Goktas O, Hepsag A
Energy Policy, 37(4), 1317, 2009 |
| 8 |
Adaptive control strategy for regulation of blood glucose levels in patients with type 1 diabetes
Eren-Oruklu M, Cinar A, Quinn L, Smith D
Journal of Process Control, 19(8), 1333, 2009 |
| 9 |
Support vector machines with simulated annealing algorithms in electricity load forecasting
Pai PF, Hong WC
Energy Conversion and Management, 46(17), 2669, 2005 |
