Mohanad S. Al-Musaylh

发表

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

Yan Li, Ravinesh C. Deo, Jan F. Adamowski, 2018, Adv. Eng. Informatics.

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, R. Deo, J. Adamowski, 2018 .

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

Ravinesh C. Deo, Jan Adamowski, Yan Li, 2019, Renewable and Sustainable Energy Reviews.

Stacked LSTM Sequence-to-Sequence Autoencoder with Feature Selection for Daily Solar Radiation Prediction: A Review and New Modeling Results

Mohanad S. Al-Musaylh, R. Deo, S. Salcedo-Sanz, 2022, Energies.

Forecasting Photosynthetic Photon Flux Density Under Cloud Effects: Novel Predictive Model Using Convolutional Neural Network Integrated With Long Short-term Memory Network

R. H. Grant, Mohanad S. Al-Musaylh, J. Soar, 2021 .

Forecasting solar photosynthetic photon flux density under cloud cover effects: novel predictive model using convolutional neural network integrated with long short-term memory network

R. H. Grant, Mohanad S. Al-Musaylh, J. Soar, 2022, Stochastic Environmental Research and Risk Assessment.

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

Mohanad S. Al-Musaylh, R. Deo, S. Salcedo-Sanz, 2023, Energy.

Electrical Energy Demand Forecasting Model Development and Evaluation with Maximum Overlap Discrete Wavelet Transform-Online Sequential Extreme Learning Machines Algorithms

Ravinesh C. Deo, Yan Li, Mohanad S. AL-Musaylh, 2020, Energies.

Gas consumption demand forecasting with empirical wavelet transform based machine learning model: A case study

Ramendra Prasad, Mohanad S. Al-Musaylh, Mohanad S. AL‐Musaylh, 2021, International Journal of Energy Research.

Integrated Multi-Head Self-Attention Transformer model for electricity demand prediction incorporating local climate variables

Mohanad S. Al-Musaylh, R. Deo, S. Salcedo-Sanz, 2023, Energy and AI.

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

Mohanad S. Al-Musaylh, R. Deo, N. Raj, 2023, Appl. Soft Comput..