Mohanad S. AL‐Musaylh

Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia

Mohanad S. AL‐Musaylh, Ravinesh C. Deo, Jan Adamowski et al. · Advanced Engineering Informatics · 2017 · 287 citations

Economics, Engineering, Smart Grid +13

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

Mohanad S. AL‐Musaylh, Ravinesh C. Deo, Yan Li et al. · Applied Energy · 2018 · 159 citations

Intelligent Forecasting, Forecasting Methodology, Electrical Engineering +9

Short-term electricity demand forecasting using machine learning methods enriched with ground-based climate and ECMWF Reanalysis atmospheric predictors in southeast Queensland, Australia

Mohanad S. AL‐Musaylh, Ravinesh C. Deo, Jan Adamowski et al. · Renewable and Sustainable Energy Reviews · 2019 · 68 citations

Climatology, Meteorology, Southeast Queensland +13

A novel approach based on integration of convolutional neural networks and echo state network for daily electricity demand prediction

Sujan Ghimire, Thong Nguyen‐Huy, Mohanad S. AL‐Musaylh et al. · Energy · 2023 · 59 citations · Full text

Engineering, Machine Learning, Novel Approach +18

Hybrid deep learning model for wave height prediction in Australia's wave energy region

A. A. Masrur Ahmed, S. Janifer Jabin Jui, Mohanad S. AL‐Musaylh et al. · Applied Soft Computing · 2023 · 44 citations · Full text

Engineering, Machine Learning, Surface Wave +16