Sfoglia per Autore
Transfer Learning Techniques for the Lithium-Ion Battery State of Charge Estimation
2024-01-01 Eleftheriadis, P.; Giazitzis, S.; Leva, S.; Ogliari, E.
Enhanced Convolutional Neural Network for solar radiation nowcasting: All-Sky camera infrared images embedded with exogeneous parameters
2024-01-01 Ogliari, E.; Sakwa, M.; Cusa, P.
Spatial Pattern of the Seismicity Induced by Geothermal Operations at the Geysers (California) Inferred by Unsupervised Machine Learning
2024-01-01 Palo, Mauro; Ogliari, Emanuele; Sakwa, Maciej
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.
Comparative Performance analysis of different PV plants in Italy
2023-01-01 Ogliari, Emanuele; Leva, Sonia; Polenghi, Marcello; De Ciechi, Luca
Energy measurement in buildings with local generation of energy
2023-01-01 Leva, Sonia; Ogliari, Emanuele; Rucco, Gennaro Lorenzo; Bandiera, Fabio
State of Health Estimation of Lithium-Ion Battery via Bidirectional Long Short-Term Memory Neural Network with Bayesian Hyperparameter Tuning
2023-01-01 Eleftheriadis, Panagiotis; Giazitzis, Spyridon; Leva, Sonia; Ogliari, Emanuele
User Behavior Clustering Based Method for EV Charging Forecast
2023-01-01 Nespoli, A.; Ogliari, E.; Leva, S.
Data-Driven Methods for the State of Charge Estimation of Lithium-Ion Batteries: An Overview
2023-01-01 Eleftheriadis, P.; Giazitzis, S.; Leva, S.; Ogliari, E.
Characterization of Bifacial Photovoltaic Modules Based on I-V Curves Outdoor Measurement
2023-01-01 Dolara, A.; Leva, S.; Mazzeo, D.; Ogliari, E.
Bayesian Hyperparameter Optimization of stacked Bidirectional Long Short-Term Memory neural network for the State of Charge estimation
2023-01-01 Eleftheriadis, Panagiotis; Leva, Sonia; Ogliari, Emanuele
Partial Discharge UHF detection and classification with Machine Learning: a real case study
2023-01-01 Ogliari, Emanuele; Sakwa, Maciej; Wei, Jianguo; Schubert, Benjamin; Liu, Weilin; Palo, Mauro
State of Charge Estimation Using a Nonlinear Autoregressive with Exogenous Input Neural Network
2023-01-01 Eleftheriadis, P.; Lodigiani, F.; Bruneri, J.; Ogliari, E.; Leva, S.
Clustering Based Method anomaly definition in Electric Vehicles charging curves
2023-01-01 Matrone, Silvana; Ogliari, Emanuele; Leva, Sonia; Devalle, Federico; Vitti, Federico; Gilberto, Giuseppe
General Machine Learning based approach to pulse classification for separation of Partial Discharges and Interference
2023-01-01 Ogliari, Emanuele; Sakwa, Maciej; Wei, Jianguo; Liu, Weilin; Schubert, Benjamin; Palo, Mauro
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.
Bifacial and Monofacial PV Systems Performance Assessment Based on IEC 61724-1 Standard
2023-01-01 Ogliari, E; Dolara, A; Mazzeo, D; Manzolini, G; Leva, S
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
Hybrid MPPT method based on Neural Network and Perturb & Observe for PV systems
2022-01-01 Hayder, Wafa; Sera, Dezso; Ogliari, Emanuele; Abid, Aycha
On Improved PSO and Neural Network P&O Methods for PV System under Shading and Various Atmospheric Conditions
2022-01-01 Hayder, W.; Sera, D.; Ogliari, E.; Lashab, A.
Bayesian Hyperparameter Optimization of Stacked Long Short-Term Memory Neural Network for the State of Charge Estimation
2022-01-01 Eleftheriadis, P.; Leva, S.; Ogliari, E.
Cloud-Base Height Estimation Based on CNN and All Sky Images
2022-01-01 Ogliari, Emanuele; Nespoli, Alfredo; Collino, Elena; Ronzio, Dario
Unsupervised Machine Learning for Blind Separation of Multiple PD Sources
2022-01-01 Palo, M.; Schubert, B.; Wei, J.; Liu, W.; Polenghi, M.; Ogliari, E.
Novel coring procedure for Post-Mortem Analysis in CIGS PV Modules
2022-01-01 Leva, S.; Ogliari, E.; Ott, M. G. C.; Aninat, R.; Yilmaz, P.
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.
Industrial Demand-Side Management by Means of Differential Evolution Considering Energy Price and Labour Cost
2022-01-01 Niccolai, A.; Taje, G. G.; Mosca, D.; Trombello, F.; Ogliari, E.
Irradiance Nowcasting by Means of Deep-Learning Analysis of Infrared Images
2022-01-01 Niccolai, A; Orooji, S; Matteri, A; Ogliari, E; Leva, S
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.
A New Probabilistic Ensemble Method for an Enhanced Day-Ahead PV Power Forecast
2022-01-01 Pretto, S.; Ogliari, E.; Niccolai, A.; Nespoli, A.
Very Short-Term Forecast: Different Classification Methods of the Whole Sky Camera Images for Sudden PV Power Variations Detection
2022-01-01 Niccolai, A.; Ogliari, E.; Nespoli, A.; Zich, R.; Vanetti, V.
Previsione della potenza generata da fotovoltaico
2021-01-01 Leva, Sonia; Mussetta, Marco; Nespoli, Alfredo; Ogliari, Emanuele G.; Pretto, Silvia
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
Wind speed component analysis on the Dynamic Thermal Line Rating
2021-01-01 Ogliari, E.; Faranda, R.; Matteri, A.; Bassi, F.; Renieri, M.
Wind power 24-h ahead forecast by an artificial neural network and an hybrid model: Comparison of the predictive performance
2021-01-01 Ogliari, E.; Guilizzoni, M.; Giglio, A.; Pretto, S.
Separation of radio-frequency signals triggered by valve switching in a HVDC converter by supervised machine learning methods
2021-01-01 Matteri, Andrea; Palo, Mauro; Ogliari, Emanuele; Schubert, Benjamin; Wei, Jianguo; Gu, Kai; Liu, Weilin
Enhanced Day-Ahead PV Power Forecast: Dataset Clustering for an Effective Artificial Neural Network Training
2021-01-01 Matteri, Andrea; Ogliari, Emanuele; Nespoli, Alfredo
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
Hybrid PV Power Forecasting Methods: A Comparison of Different Approaches
2021-01-01 Niccolai, Alessandro; Dolara, Alberto; Ogliari, Emanuele
Comparison of MPPT methods FLC PSO for PV system under variable irradiance and temperature
2021-01-01 Hayder, W.; Abid, A.; Ben Hamed, M.; Ogliari, E.; Sbita, L.
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.
Advanced Methods for Photovoltaic Output Power Forecasting: A Review
2020-01-01 Mellit, Adel; Massi Pavan, Alessandro; Ogliari, EMANUELE GIOVANNI CARLO; Leva, Sonia; Lughi, Vanni
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
Photovoltaic Plant Output Power Forecast by Means of Hybrid Artificial Neural Networks
2020-01-01 Ogliari, E.; Nespoli, A.
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
Improved PSO: A comparative study in MPPT algorithm for PV system control under partial shading conditions
2020-01-01 Hayder, W.; Ogliari, E.; Dolara, A.; Abid, A.; Hamed, M. B.; Sbita, L.
Detection, Features Extraction and Classification of Radio-Frequency Pulses in a High-Voltage Power Substation: Results from a Measurement Campaign
2020-01-01 Palo, Mauro; Schubert, Benjamin; Ogliari, Emanuele; Wei, Jianguo; Gu, Kai; Liu, Weilin
PV power forecasting improvement by means of a selective ensemble approach
2019-01-01 Leva, S.; Mussetta, M.; Nespoli, A.; Ogliari, E.
Preliminary model comparison for Dynamic Thermal Rating estimation
2019-01-01 Faranda, R.; Bassi, F.; Nespoli, A.; Ogliari, E.; Poli, D.
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.
Ground fault analysis in a microgrid scenario
2019-01-01 Dolara, A.; Ogliari, E.; Raboni, P.
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