| Short-term electricity price and load forecasting in isolated power grids based on composite neural network and gravitational search optimization algorithm A Heydari, MM Nezhad, E Pirshayan, DA Garcia, F Keynia, L De Santoli Applied Energy 277, 115503, 2020 | 183 | 2020 |
| A novel composite neural network based method for wind and solar power forecasting in microgrids A Heydari, DA Garcia, F Keynia, F Bisegna, L De Santoli Applied Energy 251, 113353, 2019 | 105 | 2019 |
| Air pollution forecasting application based on deep learning model and optimization algorithm A Heydari, M Majidi Nezhad, D Astiaso Garcia, F Keynia, L De Santoli Clean Technologies and Environmental Policy, 1-15, 2022 | 102 | 2022 |
| Wind turbine power output prediction using a new hybrid neuro-evolutionary method M Neshat, MM Nezhad, E Abbasnejad, S Mirjalili, D Groppi, A Heydari, ... Energy 229, 120617, 2021 | 95 | 2021 |
| Renewable energies generation and carbon dioxide emission forecasting in microgrids and national grids using GRNN-GWO methodology A Heydari, DA Garcia, F Keynia, F Bisegna, L De Santoli Energy Procedia 159, 154-159, 2019 | 89 | 2019 |
| A combined multi-objective intelligent optimization approach considering techno-economic and reliability factors for hybrid-renewable microgrid systems A Heydari, MM Nezhad, F Keynia, A Fekih, N Shahsavari-Pour, DA Garcia, ... Journal of Cleaner Production 383, 135249, 2023 | 53 | 2023 |
| A primary offshore wind farm site assessment using reanalysis data: A case study for Samothraki island MM Nezhad, M Neshat, D Groppi, P Marzialetti, A Heydari, G Sylaios, ... Renewable Energy 172, 667-679, 2021 | 53 | 2021 |
| Layout optimisation of offshore wave energy converters using a novel multi-swarm cooperative algorithm with backtracking strategy: A case study from coasts of Australia M Neshat, S Mirjalili, NY Sergiienko, S Esmaeilzadeh, E Amini, A Heydari, ... Energy 239, 122463, 2022 | 51 | 2022 |
| Wind source potential assessment using Sentinel 1 satellite and a new forecasting model based on machine learning: A case study Sardinia islands MM Nezhad, A Heydari, D Groppi, F Cumo, DA Garcia Renewable Energy 155, 212-224, 2020 | 45 | 2020 |
| A novel forecasting model for wind speed assessment using sentinel family satellites images and machine learning method MM Nezhad, A Heydari, E Pirshayan, D Groppi, DA Garcia Renewable Energy 179, 2198-2211, 2021 | 43 | 2021 |
| Hybrid intelligent strategy for multifactor influenced electrical energy consumption forecasting A Heydari, D Astiaso Garcia, F Keynia, F Bisegna, L De Santoli Energy Sources, Part B: Economics, Planning, and Policy 14 (10-12), 341-358, 2019 | 33 | 2019 |
| A Mediterranean Sea Offshore Wind classification using MERRA-2 and machine learning models MM Nezhad, A Heydari, M Neshat, F Keynia, G Piras, DA Garcia Renewable Energy 190, 156-166, 2022 | 30 | 2022 |
| A hybrid intelligent model for the condition monitoring and diagnostics of wind turbines gearbox A Heydari, DA Garcia, A Fekih, F Keynia, LB Tjernberg, L De Santoli IEEE Access 9, 89878-89890, 2021 | 28 | 2021 |
| A new methodology for offshore wind speed assessment integrating Sentinel-1, ERA-Interim and in-situ measurement MM Nezhad, M Neshat, A Heydari, A Razmjoo, G Piras, DA Garcia Renewable Energy 172, 1301-1313, 2021 | 25 | 2021 |
| A combined fuzzy GMDH neural network and grey wolf optimization application for wind turbine power production forecasting considering SCADA data A Heydari, M Majidi Nezhad, M Neshat, DA Garcia, F Keynia, L De Santoli, ... Energies 14 (12), 3459, 2021 | 25 | 2021 |
| Optimal planning for the development of power system in respect to distributed generations based on the binary dragonfly algorithm MH Kakueinejad, A Heydari, M Askari, F Keynia Applied Sciences 10 (14), 4795, 2020 | 24 | 2020 |
| A SWOT analysis for offshore wind energy assessment using remote-sensing potential M Majidi Nezhad, RU Shaik, A Heydari, A Razmjoo, N Arslan, ... Applied Sciences 10 (18), 6398, 2020 | 21 | 2020 |
| Land cover classification by using Sentinel-2 images: a case study in the City of Rome MM Nezhad, A Heydari, L Fusilli, G Laneve Proceedings of the 4th World Congress on Civil, Structural, and …, 2019 | 20 | 2019 |
| A new short-term energy price forecasting method based on wavelet neural network F Keynia, A Heydari International Journal of Mathematics in Operational Research 14 (1), 1-14, 2019 | 18 | 2019 |
| Prediction of wind power generation through combining particle swarm optimization and elman neural network (El-PSO) A Heydari, F Keynia International Energy Journal 15 (2), 2015 | 18 | 2015 |
Davide Astiaso GarciaSapienza University of RomeEmail yang diverifikasi di uniroma1.it