NESPOLI, ALFREDO

NESPOLI, ALFREDO  

DIPARTIMENTO DI ENERGIA  

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Risultati 1 - 20 di 27 (tempo di esecuzione: 0.031 secondi).
Titolo Data di pubblicazione Autori File
A Hybrid Method for the Run-Of-The-River Hydroelectric Power Plant Energy Forecast: HYPE Hydrological Model and Neural Network 1-gen-2020 Ogliari, EmanueleNespoli, AlfredoMussetta, MarcoPretto, SilviaZimbardo, AndreaAufiero, Manuele +
A New Probabilistic Ensemble Method for an Enhanced Day-Ahead PV Power Forecast 1-gen-2022 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 1-gen-2022 Nespoli A.Leva S.Mussetta M.Ogliari E.
Battery Sizing for Different Loads and RES Production Scenarios through Unsupervised Clustering Methods 1-gen-2021 Nespoli, AlfredoMatteri, AndreaPretto, SilviaOgliari, Emanuele +
Cloud-Base Height Estimation Based on CNN and All Sky Images 1-gen-2022 Ogliari, EmanueleNespoli, Alfredo +
Data quality analysis in day-ahead load forecast by means of LSTM 1-gen-2020 Nespoli A.Ogliari E.Pretto S. +
Day Ahead Electric Load Forecast: A Comprehensive LSTM-EMD Methodology and Several Diverse Case Studies 1-gen-2023 Wood M.Ogliari E.Nespoli A.Leva S. +
Day-ahead photovoltaic forecasting: A comparison of the most effective techniques 1-gen-2019 Nespoli A.Ogliari E.Leva S.Dolara A. +
Electric Vehicle Supply Equipment Day-Ahead Power Forecast Based on Deep Learning and the Attention Mechanism 1-gen-2024 Matrone, SilvanaOgliari, EmanueleNespoli, AlfredoLeva, Sonia
Electric vehicle supply equipment monitoring and early fault detection through autoencoders 1-gen-2024 Sakwa, MaciejNespoli, AlfredoMatrone, SilvanaLeva, SoniaOgliari, Emanuele +
Electric Vehicles Charging Sessions Classification Technique for Optimized Battery Charge Based on Machine Learning 1-gen-2023 Matrone S.Ogliari E. G. C.Nespoli AlfredoGruosso G.Gandelli A.
Electrical Load Forecast by Means of LSTM: The Impact of Data Quality 1-gen-2021 Nespoli, AlfredoOgliari, EmanuelePretto, Silvia +
Enhanced Day-Ahead PV Power Forecast: Dataset Clustering for an Effective Artificial Neural Network Training 1-gen-2021 Matteri, AndreaOgliari, EmanueleNespoli, Alfredo
Implementation of different pv forecast approaches in a multigood microgrid: Modeling and experimental results 1-gen-2021 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 1-gen-2022 Ogliari, EmanueleEleftheriadis, PanagiotisNespoli, AlfredoPolenghi, MarcelloLeva, Sonia
Machine Learning techniques for solar irradiation nowcasting: Cloud type classification forecast through satellite data and imagery 1-gen-2022 Nespoli A.Niccolai A.Ogliari E. +
Photovoltaic Plant Output Power Forecast by Means of Hybrid Artificial Neural Networks 1-gen-2020 Ogliari E.Nespoli A.
Preliminary model comparison for Dynamic Thermal Rating estimation 1-gen-2019 R. FarandaA. NespoliE. Ogliari +
Previsione della potenza generata da fotovoltaico 1-gen-2021 Sonia LevaMarco MussettaAlfredo NespoliEmanuele G. Ogliari +
PV Plant Power Nowcasting: A Real Case Comparative Study With an Open Access Dataset 1-gen-2020 Leva, SoniaNespoli, AlfredoPretto, SilviaMussetta, MarcoOgliari, Emanuele Giovanni Carlo