Robert Huva
Robert Huva
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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
Prototype large-scale renewable energy system optimisation for Victoria, Australia
R Huva, R Dargaville, S Caine
Energy 41 (1), 326-334, 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
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
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), 624-633, 2015
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
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
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
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
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
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
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
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