| Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms S Ghimire, RC Deo, N Raj, J Mi Applied Energy 253, 113541, 2019 | 365 | 2019 |
| Streamflow prediction using an integrated methodology based on convolutional neural network and long short-term memory networks S Ghimire, ZM Yaseen, AA Farooque, RC Deo, J Zhang, X Tao Scientific Reports 11 (1), 17497, 2021 | 209 | 2021 |
| Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cities of Queensland Australia S Ghimire, RC Deo, NJ Downs, N Raj Journal of cleaner production 216, 288-310, 2019 | 199 | 2019 |
| An efficient neuro-evolutionary hybrid modelling mechanism for the estimation of daily global solar radiation in the Sunshine State of Australia S Salcedo-Sanz, RC Deo, L Cornejo-Bueno, C Camacho-Gómez, ... Applied Energy 209, 79-94, 2018 | 99 | 2018 |
| Wavelet-based 3-phase hybrid SVR model trained with satellite-derived predictors, particle swarm optimization and maximum overlap discrete wavelet transform for solar radiation … S Ghimire, RC Deo, N Raj, J Mi Renewable and Sustainable Energy Reviews 113, 109247, 2019 | 94 | 2019 |
| Self-adaptive differential evolutionary extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis atmospheric … S Ghimire, RC Deo, NJ Downs, N Raj Remote Sensing of Environment 212, 176-198, 2018 | 91 | 2018 |
| Deep learning neural networks trained with MODIS satellite-derived predictors for long-term global solar radiation prediction S Ghimire, RC Deo, N Raj, J Mi Energies 12 (12), 2407, 2019 | 86 | 2019 |
| Stacked LSTM sequence-to-sequence autoencoder with feature selection for daily solar radiation prediction: A review and new modeling results S Ghimire, RC Deo, H Wang, MS Al-Musaylh, D Casillas-Pérez, ... Energies 15 (3), 1061, 2022 | 82 | 2022 |
| Machine learning regression and classification methods for fog events prediction C Castillo-Botón, D Casillas-Pérez, C Casanova-Mateo, S Ghimire, ... Atmospheric Research 272, 106157, 2022 | 80 | 2022 |
| Hybrid deep CNN-SVR algorithm for solar radiation prediction problems in Queensland, Australia S Ghimire, B Bhandari, D Casillas-Perez, RC Deo, S Salcedo-Sanz Engineering Applications of Artificial Intelligence 112, 104860, 2022 | 67 | 2022 |
| Boosting solar radiation predictions with global climate models, observational predictors and hybrid deep-machine learning algorithms S Ghimire, RC Deo, D Casillas-Pérez, S Salcedo-Sanz Applied Energy 316, 119063, 2022 | 64 | 2022 |
| Efficient daily solar radiation prediction with deep learning 4-phase convolutional neural network, dual stage stacked regression and support vector machine CNN-REGST hybrid model S Ghimire, T Nguyen-Huy, RC Deo, D Casillas-Perez, S Salcedo-Sanz Sustainable Materials and Technologies 32, e00429, 2022 | 63 | 2022 |
| Deep learning CNN-LSTM-MLP hybrid fusion model for feature optimizations and daily solar radiation prediction S Ghimire, RC Deo, D Casillas-Pérez, S Salcedo-Sanz, E Sharma, M Ali Measurement 202, 111759, 2022 | 61 | 2022 |
| Improved complete ensemble empirical mode decomposition with adaptive noise deep residual model for short-term multi-step solar radiation prediction S Ghimire, RC Deo, D Casillas-Perez, S Salcedo-Sanz Renewable Energy 190, 408-424, 2022 | 41 | 2022 |
| Hybrid convolutional neural network-multilayer perceptron model for solar radiation prediction S Ghimire, T Nguyen-Huy, R Prasad, RC Deo, D Casillas-Pérez, ... Cognitive Computation 15 (2), 645-671, 2023 | 38 | 2023 |
| A novel approach based on integration of convolutional neural networks and echo state network for daily electricity demand prediction S Ghimire, T Nguyen-Huy, MS AL-Musaylh, RC Deo, D Casillas-Pérez, ... Energy 275, 127430, 2023 | 36 | 2023 |
| Deep multi-stage reference evapotranspiration forecasting model: Multivariate empirical mode decomposition integrated with the boruta-random forest algorithm WJMLP Jayasinghe, RC Deo, A Ghahramani, S Ghimire, N Raj IEEE Access 9, 166695-166708, 2021 | 27 | 2021 |
| Development and evaluation of hybrid deep learning long short-term memory network model for pan evaporation estimation trained with satellite and ground-based data WJMLP Jayasinghe, RC Deo, A Ghahramani, S Ghimire, N Raj Journal of Hydrology 607, 127534, 2022 | 23 | 2022 |
| Optimization of windspeed prediction using an artificial neural network compared with a genetic programming model RC Deo, S Ghimire, NJ Downs, N Raj Research anthology on multi-industry uses of genetic programming and …, 2021 | 20 | 2021 |
| Two-step deep learning framework with error compensation technique for short-term, half-hourly electricity price forecasting S Ghimire, RC Deo, D Casillas-Pérez, S Salcedo-Sanz Applied Energy 353, 122059, 2024 | 19 | 2024 |
Professor Ravinesh Deo, Highly Cited...Professor in Mathematics and Artificial IntelligenceEmail được xác minh tại usq.edu.au
