NESPOLI, ALFREDO
A Hybrid Method for the Run-Of-The-River Hydroelectric Power Plant Energy Forecast: HYPE Hydrological Model and Neural Network
2020-01-01 Ogliari, Emanuele; Nespoli, Alfredo; Mussetta, Marco; Pretto, Silvia; Zimbardo, Andrea; Bonfanti, Nicholas; Aufiero, Manuele
A New Probabilistic Ensemble Method for an Enhanced Day-Ahead PV Power Forecast
2022-01-01 Pretto, S.; Ogliari, E.; Niccolai, A.; Nespoli, A.
A Selective Ensemble Approach for Accuracy Improvement and Computational Load Reduction in ANN-based PV power forecasting
2022-01-01 Nespoli, A.; Leva, S.; Mussetta, M.; Ogliari, E.
Battery Sizing for Different Loads and RES Production Scenarios through Unsupervised Clustering Methods
2021-01-01 Nespoli, Alfredo; Matteri, Andrea; Pretto, Silvia; De Ciechi, Luca; Ogliari, Emanuele
Cloud-Base Height Estimation Based on CNN and All Sky Images
2022-01-01 Ogliari, Emanuele; Nespoli, Alfredo; Collino, Elena; Ronzio, Dario
Data quality analysis in day-ahead load forecast by means of LSTM
2020-01-01 Nespoli, A.; Ogliari, E.; Pretto, S.; Gavazzeni, M.; Vigani, S.; Paccanelli, F.
Day Ahead Electric Load Forecast: A Comprehensive LSTM-EMD Methodology and Several Diverse Case Studies
2023-01-01 Wood, M.; Ogliari, E.; Nespoli, A.; Simpkins, T.; Leva, S.
Day-ahead photovoltaic forecasting: A comparison of the most effective techniques
2019-01-01 Nespoli, A.; Ogliari, E.; Leva, S.; Pavan, A. M.; Mellit, A.; Lughi, V.; Dolara, A.
Electric Vehicles Charging Sessions Classification Technique for Optimized Battery Charge Based on Machine Learning
2023-01-01 Matrone, S.; Ogliari, E. G. C.; Nespoli, Alfredo; Gruosso, G.; Gandelli, A.
Electrical Load Forecast by Means of LSTM: The Impact of Data Quality
2021-01-01 Nespoli, Alfredo; Ogliari, Emanuele; Pretto, Silvia; Gavazzeni, Michele; Vigani, Sonia; Paccanelli, Franco
Enhanced Day-Ahead PV Power Forecast: Dataset Clustering for an Effective Artificial Neural Network Training
2021-01-01 Matteri, Andrea; Ogliari, Emanuele; Nespoli, Alfredo
Implementation of different pv forecast approaches in a multigood microgrid: Modeling and experimental results
2021-01-01 Polimeni, S.; Nespoli, A.; Leva, S.; Valenti, G.; Manzolini, G.
Machine Learning methods for clustering and day-ahead thermal load forecasting of an existing District Heating
2022-01-01 Ogliari, Emanuele; Eleftheriadis, Panagiotis; Nespoli, Alfredo; Polenghi, Marcello; Leva, Sonia
Machine Learning techniques for solar irradiation nowcasting: Cloud type classification forecast through satellite data and imagery
2022-01-01 Nespoli, A.; Niccolai, A.; Ogliari, E.; Perego, G.; Collino, E.; Ronzio, D.
Photovoltaic Plant Output Power Forecast by Means of Hybrid Artificial Neural Networks
2020-01-01 Ogliari, E.; Nespoli, A.
Preliminary model comparison for Dynamic Thermal Rating estimation
2019-01-01 Faranda, R.; Bassi, F.; Nespoli, A.; Ogliari, E.; Poli, D.
Previsione della potenza generata da fotovoltaico
2021-01-01 Leva, Sonia; Mussetta, Marco; Nespoli, Alfredo; Ogliari, Emanuele G.; Pretto, Silvia
PV Plant Power Nowcasting: A Real Case Comparative Study With an Open Access Dataset
2020-01-01 Leva, Sonia; Nespoli, Alfredo; Pretto, Silvia; Mussetta, Marco; Ogliari, Emanuele Giovanni Carlo
PV power forecasting improvement by means of a selective ensemble approach
2019-01-01 Leva, S.; Mussetta, M.; Nespoli, A.; Ogliari, E.
Robust 24 hours ahead forecast in a microgrid: A real case study
2019-01-01 Nespoli, A.; Mussetta, M.; Ogliari, E.; Leva, S.; Fernandez-Ramirez, L.; Garcia-Trivino, P.