| Solar irradiance forecasting in the tropics using numerical weather prediction and statistical learning H Verbois, R Huva, A Rusydi, W Walsh Solar Energy 162, 265-277, 2018 | 133 | 2018 |
| Prototype large-scale renewable energy system optimisation for Victoria, Australia R Huva, R Dargaville, S Caine Energy 41 (1), 326-334, 2012 | 40 | 2012 |
| Comparisons of next-day solar forecasting for Singapore using 3DVAR and 4DVAR data assimilation approaches with the WRF model R Huva, H Verbois, W Walsh Renewable Energy 147, 663-671, 2020 | 21 | 2020 |
| The impact of filtering self-organizing maps: a case study with Australian pressure and rainfall. R Huva, R Dargaville, P Rayner International Journal of Climatology 35 (4), 2015 | 17 | 2015 |
| Beyond quadratic error: Case-study of a multiple criteria approach to the performance assessment of numerical forecasts of solar irradiance in the tropics H Verbois, P Blanc, R Huva, YM Saint-Drenan, A Rusydi, A Thiery Renewable and Sustainable Energy Reviews 117, 109471, 2020 | 16 | 2020 |
| Optimising the deployment of renewable resources for the Australian NEM (National Electricity Market) and the effect of atmospheric length scales R Huva, R Dargaville, P Rayner Energy 96, 468-473, 2016 | 10 | 2016 |
| Comprehensive physics testing and adaptive weather research and forecasting physics for day‐ahead solar forecasting R Huva, G Song, X Zhong, Y Zhao Meteorological Applications 28 (4), e2017, 2021 | 6 | 2021 |
| Combination model for day-ahead solar forecasting using local and global model input G Song, R Huva, Y Zhao Journal of Renewable and Sustainable Energy 14 (3), 2022 | 2 | 2022 |
| WRF model sensitivity to spatial resolution in Singapore: analysis for a heavy rain event and general suitability R Huva, G Song Atmosphere 13 (4), 606, 2022 | 2 | 2022 |
| Influential synoptic weather types for a future renewable energy dependent national electricity market R Huva, R Dargaville, P Rayner Australian Meteorological and Oceanographic Journal 65 (4), 342-355, 2015 | 2 | 2015 |
| WRF Model Moisture Adjustment Method: A Case Study with Wintertime Cloudy Biases in Xinjiang, China G Song, R Huva, Y Xing, X Zhong Weather and Forecasting 36 (2), 487-497, 2021 | | 2021 |
| Covariances in the Weather and the Influence on an Australian Large-scale Renewable Electricity System R Huva University of Melbourne, School of Earth Sciences, 2015 | | 2015 |
