| 1 |
Recent advances in knowledge discovery for heterogeneous catalysis using machine learning
Gunay ME, Yildirim R
Catalysis Reviews-Science and Engineering, 63(1), 120, 2021 |
| 2 |
Exploring the critical factors of algal biomass and lipid production for renewable fuel production by machine learning
Cosgun A, Gunay ME, Yildirim R
Renewable Energy, 163, 1299, 2021 |
| 3 |
Monitoring and Control Model for Coal Mine Gas and Coal Dust
Zhu ZG, Wang HB, Zhou J
Chemistry and Technology of Fuels and Oils, 56(3), 504, 2020 |
| 4 |
Performance improvement of centrifugal compressors for fuel cell vehicles using the aerodynamic optimization and data mining methods
Zhang YM, Xu SC, Wan Y
International Journal of Hydrogen Energy, 45(19), 11276, 2020 |
| 5 |
Hydrogen fuel cell diagnostics using random forest and enhanced feature selection
Lin RH, Pei ZX, Ye ZZ, Guo CC, Wu BD
International Journal of Hydrogen Energy, 45(17), 10523, 2020 |
| 6 |
Data mining in photocatalytic water splitting over perovskites literature for higher hydrogen production
Can E, Yildirim R
Applied Catalysis B: Environmental, 242, 267, 2019 |
| 7 |
A data mining-driven incentive-based demand response scheme for a virtual power plant
Luo Z, Hong S, Ding YM
Applied Energy, 239, 549, 2019 |
| 8 |
A practical feature-engineering framework for electricity theft detection in smart grids
Razavi R, Gharipour A, Fleury M, Akpan IJ
Applied Energy, 238, 481, 2019 |
| 9 |
Data compression approach for the home energy management system
Jia KQ, Guo G, Xiao JC, Zhou H, Wang ZH, He GY
Applied Energy, 247, 643, 2019 |
| 10 |
Deep learning-based feature engineering methods for improved building energy prediction
Fan C, Sun YJ, Zhao Y, Song MJ, Wang JY
Applied Energy, 240, 35, 2019 |
