| Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia MS Al-Musaylh, RC Deo, JF Adamowski, Y Li Advanced Engineering Informatics 35, 1-16, 2018 | 280 | 2018 |
| Two-phase particle swarm optimized-support vector regression hybrid model integrated with improved empirical mode decomposition with adaptive noise for multiple-horizon … MS Al-Musaylh, RC Deo, Y Li, JF Adamowski Applied energy 217, 422-439, 2018 | 134 | 2018 |
| 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 | 57 | 2022 |
| Short-term electricity demand forecasting using machine learning methods enriched with ground-based climate and ECMWF Reanalysis atmospheric predictors in southeast Queensland … MS Al-Musaylh, RC Deo, JF Adamowski, Y Li Renewable and Sustainable Energy Reviews 113, 109293, 2019 | 55 | 2019 |
| Electrical energy demand forecasting model development and evaluation with maximum overlap discrete wavelet transform-online sequential extreme learning machines algorithms MS Al-Musaylh, RC Deo, Y Li Energies 13 (9), 2307, 2020 | 29 | 2020 |
| 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 | 16 | 2023 |
| Forecasting solar photosynthetic photon flux density under cloud cover effects: novel predictive model using convolutional neural network integrated with long short-term memory … RC Deo, RH Grant, A Webb, S Ghimire, DP Igoe, NJ Downs, ... Stochastic Environmental Research and Risk Assessment 36 (10), 3183-3220, 2022 | 11 | 2022 |
| Particle swarm optimized–support vector regression hybrid model for daily horizon electricity demand forecasting using climate dataset SALM Mohanad, CD Ravinesh, L Yan E3S web of conferences 64, 08001, 2018 | 11 | 2018 |
| Gas consumption demand forecasting with empirical wavelet transform based machine learning model: A case study MS AL‐Musaylh, K Al‐Daffaie, R Prasad International Journal of Energy Research 45 (10), 15124-15138, 2021 | 10 | 2021 |
| Advanced engineering informatics short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia MS Al-Musaylh, RC Deo, JF Adamowski, Y Li Advanced Engineering Informatics 35, 1-16, 2018 | 5 | 2018 |
| Hybrid deep learning model for wave height prediction in Australia's wave energy region AAM Ahmed, SJJ Jui, MS AL-Musaylh, N Raj, R Saha, RC Deo, SK Saha Applied Soft Computing 150, 111003, 2024 | 4 | 2024 |
| Integrated Multi-Head Self-Attention Transformer model for electricity demand prediction incorporating local climate variables S Ghimire, T Nguyen-Huy, MS AL-Musaylh, RC Deo, D Casillas-Pérez, ... Energy and AI 14, 100302, 2023 | 3 | 2023 |
| Clustering similar time series data for the prediction the patients with heart disease RL Lafta, MS AL-Musaylh, QM Shallal Indonesian Journal of Electrical Engineering and Computer Science 26 (2), 947, 2022 | 2 | 2022 |
| Forecasting photosynthetic photon flux density under cloud effects: Novel predictive model using convolutional neural network integrated with long short-term memory network RC Deo, RH Grant, A Webb, S Ghimire, DP Igoe, NJ Downs, ... | 2 | 2021 |
| Multi-step solar UV index prediction using deep learning methods MS Al-Musaylh, S Ghimire, K Al-Daffaie, M Ali, RC Deo, N Downs, ... | 1 | 2023 |
| On the existence and the nonexistence of some (𝐤, 𝐧)− arcs in 𝐏𝐆 (𝟐, 𝟑𝟕) MS Khalid Journal of Basrah Researches ((Sciences)) 39 (2), 2013 | 1 | 2013 |
| Development of data intelligent models for electricity demand forecasting: case studies in the state of Queensland, Australia MSK Al-Musaylh University of Southern Queensland, 2020 | | 2020 |
| On the existence and the nonexistence of some (𝐤, 𝐧)− arcs in 𝐏𝐆 (𝟐, 𝟑𝟕) MS Khalid Journal of Basrah Researches ((Sciences)) 39 (2), 2013 | | 2013 |
Professor Ravinesh Deo, Highly Cited...Full Professor in Mathematics (Artificial Intelligence & Machine Learning)Dirección de correo verificada de usq.edu.au
