| Analysis and application of forecasting models in wind power integration: A review of multi-step-ahead wind speed forecasting models J Wang, Y Song, F Liu, R Hou Renewable and Sustainable Energy Reviews 60, 960-981, 2016 | 269 | 2016 |
| A combined model based on data pre-analysis and weight coefficients optimization for electrical load forecasting L Xiao, J Wang, R Hou, J Wu Energy 82, 524-549, 2015 | 146 | 2015 |
| Improved v-support vector regression model based on variable selection and brain storm optimization for stock price forecasting J Wang, R Hou, C Wang, L Shen Applied Soft Computing 49, 164-178, 2016 | 109 | 2016 |
| Modeling anomalous diffusion: from statistics to mathematics W Deng, R Hou, W Wang, P Xu | 66 | 2020 |
| Short‐Term Wind Speed Forecasting Using Support Vector Regression Optimized by Cuckoo Optimization Algorithm J Wang, Q Zhou, H Jiang, R Hou Mathematical Problems in Engineering 2015 (1), 619178, 2015 | 52 | 2015 |
| Biased continuous-time random walks for ordinary and equilibrium cases: facilitation of diffusion, ergodicity breaking and ageing R Hou, AG Cherstvy, R Metzler, T Akimoto Physical Chemistry Chemical Physics 20 (32), 20827-20848, 2018 | 51 | 2018 |
| Research and application of hybrid wind-energy forecasting models based on cuckoo search optimization R Hou, Y Yang, Q Yuan, Y Chen Energies 12 (19), 3675, 2019 | 8 | 2019 |
| Feynman–Kac equations for reaction and diffusion processes R Hou, W Deng Journal of Physics A: Mathematical and Theoretical 51 (15), 155001, 2018 | 8 | 2018 |
Feng Liu (he/him)Lecturer, University of Melbourne / Visiting Scientist, RIKEN-AIP / Visiting Fellow, UTS-AAIIVerified email at unimelb.edu.au