| 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 |
| 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 |
| PV Plant Power Nowcasting: A Real Case Comparative Study With an Open Access Dataset S Leva, A Nespoli, S Pretto, M Mussetta, EGC Ogliari IEEE Access 8, 194428-194440, 2020 | 26 | 2020 |
| Robust 24 Hours ahead Forecast in a Microgrid: A Real Case Study A Nespoli, M Mussetta, E Ogliari, S Leva, L Fernández-Ramírez, ... Electronics 8 (12), 1434, 2019 | 25 | 2019 |
| Electrical Load Forecast by Means of LSTM: The Impact of Data Quality A Nespoli, E Ogliari, S Pretto, M Gavazzeni, S Vigani, F Paccanelli Forecasting 3 (1), 91-101, 2021 | 23 | 2021 |
| A Selective Ensemble Approach for Accuracy Improvement and Computational Load Reduction in ANN-Based PV Power Forecasting A Nespoli, S Leva, M Mussetta, EGC Ogliari IEEE Access 10, 32900-32911, 2022 | 19 | 2022 |
| A New Probabilistic Ensemble Method for an Enhanced Day-Ahead PV Power Forecast S Pretto, E Ogliari, A Niccolai, A Nespoli IEEE Journal of Photovoltaics 12 (2), 581-588, 2022 | 19 | 2022 |
| Implementation of Different PV Forecast Approaches in a MultiGood MicroGrid: Modeling and Experimental Results S Polimeni, A Nespoli, S Leva, G Valenti, G Manzolini Processes 9 (2), 323, 2021 | 18 | 2021 |
| Validation of ANN Training Approaches for Day-Ahead Photovoltaic Forecasts A Nespoli, E Ogliari, A Dolara, F Grimaccia, S Leva, M Mussetta 2018 International Joint Conference on Neural Networks (IJCNN), 1-6, 2018 | 17 | 2018 |
| PV power forecasting improvement by means of a selective ensemble approach S Leva, M Mussetta, A Nespoli, E Ogliari 2019 IEEE Milan PowerTech, 1-5, 2019 | 12 | 2019 |
| Enhanced Day-Ahead PV Power Forecast: Dataset Clustering for an Effective Artificial Neural Network Training A Matteri, E Ogliari, A Nespoli Engineering Proceedings 5 (1), 16, 2021 | 11 | 2021 |
| Data quality analysis in day-ahead load forecast by means of LSTM A Nespoli, E Ogliari, S Pretto, M Gavazzeni, S Vigani, F Paccanelli 2020 IEEE International Conference on Environment and Electrical Engineering …, 2020 | 10 | 2020 |
| Day Ahead Electric Load Forecast: A Comprehensive LSTM-EMD Methodology and Several Diverse Case Studies M Wood, E Ogliari, A Nespoli, T Simpkins, S Leva Forecasting 5 (1), 297-314, 2023 | 8 | 2023 |
| User Behavior Clustering Based Method for EV Charging Forecast A Nespoli, E Ogliari, S Leva IEEE Access 11, 6273-6283, 2023 | 8 | 2023 |
| Sun Position Identification in Sky Images for Nowcasting Application A Niccolai, A Nespoli Forecasting 2 (4), 488-504, 2020 | 8 | 2020 |
| Photovoltaic power and weather parameters S Leva, A Nespoli, S Pretto, M Mussetta, E Ogliari IEEE Dataport, 2020 | 8 | 2020 |
| A Hybrid Method for the Run-Of-The-River Hydroelectric Power Plant Energy Forecast: HYPE Hydrological Model and Neural Network E Ogliari, A Nespoli, M Mussetta, S Pretto, A Zimbardo, N Bonfanti, ... Forecasting 2 (4), 410-428, 2020 | 6 | 2020 |
| Solar Position Identification on Sky Images for Photovoltaic Nowcasting applications A Nespoli, A Niccolai 2020 IEEE International Conference on Environment and Electrical Engineering …, 2020 | 5 | 2020 |
| Preliminary model comparison for Dynamic Thermal Rating estimation E Ogliari, A Nespoli, R Faranda, D Poli, F Bassi 2019 IEEE International Conference on Environment and Electrical Engineering …, 2019 | 5 | 2019 |
| Photovoltaic Plant Output Power Forecast by Means of Hybrid Artificial Neural Networks E Ogliari, A Nespoli A Practical Guide for Advanced Methods in Solar Photovoltaic Systems, 203-222, 2020 | 4 | 2020 |
Emanuele Giovanni Carlo OgliariPolitecnico di MilanoVerified email at polimi.it
