Items where Author is "Al-Musaylh, Mohanad S."

Article (Commonwealth Reporting Category C)

Al-Musaylh, Mohanad S. and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Li, Yan (2020) Electrical energy demand forecasting model development and evaluation with maximum overlap discrete wavelet transform-online sequential extreme learning machines algorithms. Energies, 13 (9):2307.

Al-Musaylh, Mohanad S. and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Adamowski, Jan F. and Li, Yan (2019) Short-term electricity demand forecasting using machine learning methods enriched with ground-based climate and ECMWF Reanalysis atmospheric predictors in southeast Queensland, Australia. Renewable and Sustainable Energy Reviews, 113:109293. ISSN 1364-0321

Al-Musaylh, Mohanad S. and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Adamowski, Jan F. and Li, Yan (2018) Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia. Advanced Engineering Informatics, 35 (C). pp. 1-16. ISSN 1474-0346

Al-Musaylh, Mohanad S. and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Li, Yan and Adamowski, Jan F. (2018) Two-phase particle swarm optimized-support vector regression hybrid model integrated with improved empirical mode decomposition with adaptive noise for multiple-horizon electricity demand forecasting. Applied Energy, 217. pp. 422-439. ISSN 0306-2619

Conference or Workshop Item (Commonwealth Reporting Category E)

Al-Musaylh, Mohanad S. and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Li, Yan (2018) Particle swarm optimized–support vector regression hybrid model for daily horizon electricity demand forecasting using climate dataset. In: 3rd International Conference on Power and Renewable Energy (ICPRE 2018), 21-24 Sept 2018, Berlin, Germany.