| A critical review of wind power forecasting methods—past, present and future S Hanifi, X Liu, Z Lin, S Lotfian Energies 13 (15), 3764, 2020 | 355 | 2020 |
| Advanced hyperparameter optimization of deep learning models for wind power prediction S Hanifi, A Cammarono, H Zare-Behtash Renewable Energy 221, 119700, 2024 | 54 | 2024 |
| Offshore wind power forecasting—A new hyperparameter optimisation algorithm for deep learning models S Hanifi, S Lotfian, H Zare-Behtash, A Cammarano Energies 15 (19), 6919, 2022 | 31 | 2022 |
| Offshore wind power forecasting based on WPD and optimised deep learning methods S Hanifi, H Zare-Behtash, A Cammarano, S Lotfian Renewable Energy 218, 119241, 2023 | 29 | 2023 |
| Advancements in predictive maintenance modelling for industrial electrical motors: Integrating machine learning and sensor technologies DMG Shahram Hanifi, Babakalli Alkali, Gordon Lindsay, Mark Waters Measurement: Sensors, 2024 | | 2024 |
| Development and applications of AI for offshore wind power forecasting S Hanifi University of Glasgow, 2024 | | 2024 |
| Comparative Analysis of Strategies for Multi-Step Ahead Wind Power Forecasting for Different Forecast Horizons and Wind Power Datasets S Hanifi, A Cammarano, H Zare‐Behtash Available at SSRN 4532707, 2023 | | 2023 |
Saeid LotfianUniversity of StrathclydeZweryfikowany adres z strath.ac.uk