| Analysis and validation of 24 hours ahead neural network forecasting of photovoltaic output power S Leva, A Dolara, F Grimaccia, M Mussetta, E Ogliari Mathematics and computers in simulation 131, 88-100, 2017 | 330 | 2017 |
| Advanced methods for photovoltaic output power forecasting: A review A Mellit, A Massi Pavan, E Ogliari, S Leva, V Lughi Applied Sciences 10 (2), 487, 2020 | 215 | 2020 |
| A physical hybrid artificial neural network for short term forecasting of PV plant power output A Dolara, F Grimaccia, S Leva, M Mussetta, E Ogliari Energies 8 (2), 1138-1153, 2015 | 210 | 2015 |
| Physical and hybrid methods comparison for the day ahead PV output power forecast E Ogliari, A Dolara, G Manzolini, S Leva Renewable energy 113, 11-21, 2017 | 191 | 2017 |
| Day-ahead photovoltaic forecasting: A comparison of the most effective techniques A Nespoli, E Ogliari, S Leva, A Massi Pavan, A Mellit, V Lughi, A Dolara Energies 12 (9), 1621, 2019 | 173 | 2019 |
| Pitch angle control using hybrid controller for all operating regions of SCIG wind turbine system MQ Duong, F Grimaccia, S Leva, M Mussetta, E Ogliari Renewable Energy 70, 197-203, 2014 | 168 | 2014 |
| Hybrid predictive models for accurate forecasting in PV systems E Ogliari, F Grimaccia, S Leva, M Mussetta Energies 6 (4), 1918-1929, 2013 | 114 | 2013 |
| Investigation on performance decay on photovoltaic modules: Snail trails and cell microcracks A Dolara, S Leva, G Manzolini, E Ogliari IEEE journal of photovoltaics 4 (5), 1204-1211, 2014 | 88 | 2014 |
| The optimum PV plant for a given solar DC/AC converter RS Faranda, H Hafezi, S Leva, M Mussetta, E Ogliari Energies 8 (6), 4853-4870, 2015 | 80 | 2015 |
| Hybrid model for hourly forecast of photovoltaic and wind power DM Quan, E Ogliari, F Grimaccia, S Leva, M Mussetta 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2013 | 79 | 2013 |
| Hybrid model analysis and validation for PV energy production forecasting A Gandelli, F Grimaccia, S Leva, M Mussetta, E Ogliari 2014 international joint conference on neural networks (IJCNN), 1957-1962, 2014 | 75 | 2014 |
| Improved PSO: a comparative study in MPPT algorithm for PV system control under partial shading conditions W Hayder, E Ogliari, A Dolara, A Abid, M Ben Hamed, L Sbita Energies 13 (8), 2035, 2020 | 70 | 2020 |
| Comparison of training approaches for photovoltaic forecasts by means of machine learning A Dolara, F Grimaccia, S Leva, M Mussetta, E Ogliari Applied Sciences 8 (2), 228, 2018 | 63 | 2018 |
| ANN sizing procedure for the day-ahead output power forecast of a PV plant F Grimaccia, S Leva, M Mussetta, E Ogliari Applied Sciences 7 (6), 622, 2017 | 52 | 2017 |
| PV module fault diagnosis based on microconverters and day-ahead forecast S Leva, M Mussetta, E Ogliari IEEE Transactions on Industrial Electronics 66 (5), 3928-3937, 2018 | 48 | 2018 |
| Machine Learning techniques for solar irradiation nowcasting: Cloud type classification forecast through satellite data and imagery A Nespoli, A Niccolai, E Ogliari, G Perego, E Collino, D Ronzio Applied Energy 305, 117834, 2022 | 44 | 2022 |
| An evolutionary-based MPPT algorithm for photovoltaic systems under dynamic partial shading A Dolara, F Grimaccia, M Mussetta, E Ogliari, S Leva Applied Sciences 8 (4), 558, 2018 | 43 | 2018 |
| Computational intelligence techniques applied to the day ahead PV output power forecast: PHANN, SNO and mixed E Ogliari, A Niccolai, S Leva, RE Zich Energies 11 (6), 1487, 2018 | 37 | 2018 |
| Day-ahead forecasting for photovoltaic power using artificial neural networks ensembles M Omar, A Dolara, G Magistrati, M Mussetta, E Ogliari, F Viola 2016 IEEE International Conference on Renewable Energy Research and …, 2016 | 37 | 2016 |
| Wind power 24-h ahead forecast by an artificial neural network and an hybrid model: Comparison of the predictive performance E Ogliari, M Guilizzoni, A Giglio, S Pretto Renewable Energy 178, 1466-1474, 2021 | 34 | 2021 |
Sonia LevaFull Professor, Politecnico di MilanoVerified email at polimi.it
