Emanuele Ogliari

According to our database, Emanuele Ogliari authored at least 17 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Spatial Pattern of the Seismicity Induced by Geothermal Operations at the Geysers (California) Inferred by Unsupervised Machine Learning.

Mauro Palo, Emanuele Ogliari, Maciej Sakwa

IEEE Trans. Geosci. Remote. Sens., 2024

Transfer Learning Techniques for the Lithium-Ion Battery State of Charge Estimation.

Panagiotis Eleftheriadis, Spyridon Giazitzis, Sonia Leva, Emanuele Ogliari

IEEE Access, 2024

2023

User Behavior Clustering Based Method for EV Charging Forecast.

Alfredo Nespoli, Emanuele Ogliari, Sonia Leva

IEEE Access, 2023

Electric Vehicles Charging Sessions Classification Technique for Optimized Battery Charge Based on Machine Learning.

Silvana Matrone, Emanuele Giovanni Carlo Ogliari, Alfredo Nespoli, Giambattista Gruosso, Alessandro Gandelli

IEEE Access, 2023

Partial Discharge UHF detection and classification with Machine Learning: a real case study.

Emanuele Ogliari, Maciej Sakwa, Jianguo Wei, Benjamin Schubert, Weilin Liu, Mauro Palo

Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2023

2022

Photovoltaic power and weather parameters.

Sonia Leva, Alfredo Nespoli, Silvia Pretto, Marco Mussetta, Emanuele Ogliari

Dataset, May, 2022

A Selective Ensemble Approach for Accuracy Improvement and Computational Load Reduction in ANN-Based PV Power Forecasting.

Alfredo Nespoli, Sonia Leva, Marco Mussetta, Emanuele Giovanni Carlo Ogliari

IEEE Access, 2022

Hybrid MPPT method based on Neural Network and Perturb & Observe for PV systems.

Wafa Hayder, Dezso Sera, Emanuele Ogliari, Aycha Abid

Proceedings of the 19th International Multi-Conference on Systems, Signals & Devices, 2022

2021

Comparison of MPPT methods FLC & PSO for PV system under variable irradiance and temperature.

Wafa Hayder, Aycha Abid, Mouna Ben Hamed, Emanuele Ogliari, Lasaâd Sbita

Proceedings of the 18th International Multi-Conference on Systems, Signals & Devices, 2021

2020

PV Plant Power Nowcasting: A Real Case Comparative Study With an Open Access Dataset.

Sonia Leva, Alfredo Nespoli, Silvia Pretto, Marco Mussetta, Emanuele Ogliari

IEEE Access, 2020

2019

PV Module Fault Diagnosis Based on Microconverters and Day-Ahead Forecast.

Sonia Leva, Marco Mussetta, Emanuele Ogliari

IEEE Trans. Ind. Electron., 2019

2018

Validation of ANN Training Approaches for Day-Ahead Photovoltaic Forecasts.

Alfredo Nespoli, Emanuele Ogliari, Alberto Dolara, Francesco Grimaccia, Sonia Leva, Marco Mussetta

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Analysis and validation of 24 hours ahead neural network forecasting of photovoltaic output power.

Sonia Leva, Alberto Dolara, Francesco Grimaccia, Marco Mussetta, Emanuele Ogliari

Math. Comput. Simul., 2017

2016

Neural forecasting of the day-ahead hourly power curve of a photovoltaic plant.

Emanuele Ogliari, Alessandro Gandelli, Francesco Grimaccia, Sonia Leva, Marco Mussetta

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Day-ahead PV Power Forecast by Hybrid ANN Compared to the Five Parameters Model Estimated by Particle Filter Algorithm.

Emanuele Ogliari, Alberto Bolzoni, Sonia Leva, Marco Mussetta

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2014

Hybrid model analysis and validation for PV energy production forecasting.

Alessandro Gandelli, Francesco Grimaccia, Sonia Leva, Marco Mussetta, Emanuele Ogliari

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

Hybrid model for hourly forecast of photovoltaic and wind power.

Minh Quan Duong, Emanuele Ogliari, Francesco Grimaccia, Sonia Leva, Marco Mussetta

Proceedings of the FUZZ-IEEE 2013, 2013