OGLIARI, EMANUELE GIOVANNI CARLO
A Case Study of a Tiny Machine Learning Application for Battery State-of-Charge Estimation
2024-01-01 Giazitzis, Spyridon; Sakwa, Maciej; Leva, Sonia; Ogliari, Emanuele; Badha, Susheel; Rosetti, Filippo
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 physical hybrid artificial neural network for short term forecasting of PV plant power output
2015-01-01 Dolara, Alberto; Grimaccia, Francesco; Leva, Sonia; Mussetta, Marco; Ogliari, EMANUELE GIOVANNI CARLO
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.
Advanced Methods for Photovoltaic Output Power Forecasting: A Review
2020-01-01 Mellit, Adel; Massi Pavan, Alessandro; Ogliari, Emanuele; Leva, Sonia; Lughi, Vanni
An evolutionary-based MPPT algorithm for photovoltaic systems under dynamic partial shading
2018-01-01 Dolara, Alberto; Grimaccia, Francesco; Mussetta, Marco; Ogliari, Emanuele; Leva, Sonia
Analysis and validation of 24 hours ahead neural network forecasting of photovoltaic output power
2017-01-01 Leva, Sonia; Dolara, Alberto; Grimaccia, Francesco; Mussetta, Marco; Ogliari, EMANUELE GIOVANNI CARLO
ANN sizing procedure for the day-ahead output power forecast of a PV plant
2017-01-01 Grimaccia, Francesco; Leva, Sonia; Mussetta, Marco; Ogliari, Emanuele
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
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
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
Comparative analysis of half-cell and full-cell PV commercial modules for sustainable mobility applications: Outdoor performance evaluation under partial shading conditions
2024-01-01 Cabrera-Tobar, Ana; Dolara, Alberto; Leva, Sonia; Mazzeo, Domenico; Ogliari, EMANUELE GIOVANNI CARLO
Comparison of data-driven techniques for nowcasting applied to an industrial-scale photovoltaic plant
2019-01-01 Sala, S.; Amendola, A.; Leva, S.; Mussetta, M.; Niccolai, A.; Ogliari, E.
Comparison of training approaches for photovoltaic forecasts by means of machine learning
2018-01-01 Dolara, Alberto; Grimaccia, Francesco; Leva, Sonia; Mussetta, Marco; Ogliari, Emanuele
Computational intelligence techniques applied to the day ahead PV output power forecast: PHANN, SNO and mixed
2018-01-01 Ogliari, Emanuele; Niccolai, Alessandro; Leva, Sonia; Zich, Riccardo E.
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.
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.
Deep Learning Regression with Sequences of Different Length: An Application for State of Health Trajectory Prediction and Remaining Useful Life Estimation in Lithium-Ion Batteries
2024-01-01 Bellomo, Michele; Giazitzis, Spyridon; Badha, Susheel; Rosetti, Filippo; Dolara, Alberto; Ogliari, Emanuele