Emanuele Giovanni Carlo Ogliari
Emanuele Giovanni Carlo Ogliari
Verified email at polimi.it
Title
Cited by
Cited by
Year
Analysis and validation of 24 hours ahead neural network forecasting of photovoltaic output power
S Leva, A Dolara, F Grimaccia, M Mussetta, E Ogliari
Mathematics and computers in simulation 131, 88-100, 2017
1622017
Pitch angle control using hybrid controller for all operating regions of SCIG wind turbine system
MQ Duong, F Grimaccia, S Leva, M Mussetta, E Ogliari
Renewable Energy 70, 197-203, 2014
1202014
A physical hybrid artificial neural network for short term forecasting of PV plant power output
A Dolara, F Grimaccia, S Leva, M Mussetta, E Ogliari
Energies 8 (2), 1138-1153, 2015
1082015
Hybrid predictive models for accurate forecasting in PV systems
E Ogliari, F Grimaccia, S Leva, M Mussetta
Energies 6 (4), 1918-1929, 2013
862013
Physical and hybrid methods comparison for the day ahead PV output power forecast
E Ogliari, A Dolara, G Manzolini, S Leva
Renewable Energy 113, 11-21, 2017
772017
Investigation on performance decay on photovoltaic modules: Snail trails and cell microcracks
A Dolara, S Leva, G Manzolini, E Ogliari
IEEE journal of photovoltaics 4 (5), 1204-1211, 2014
602014
Hybrid model for hourly forecast of photovoltaic and wind power
DM Quan, E Ogliari, F Grimaccia, S Leva, M Mussetta
2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2013
602013
Hybrid model analysis and validation for PV energy production forecasting
A Gandelli, F Grimaccia, S Leva, M Mussetta, E Ogliari
2014 international joint conference on neural networks (IJCNN), 1957-1962, 2014
452014
The optimum PV plant for a given solar DC/AC converter
RS Faranda, H Hafezi, S Leva, M Mussetta, E Ogliari
Energies 8 (6), 4853-4870, 2015
412015
Day-ahead photovoltaic forecasting: A comparison of the most effective techniques
A Nespoli, E Ogliari, S Leva, A Massi Pavan, A Mellit, V Lughi, A Dolara
Energies 12 (9), 1621, 2019
332019
Comparison of training approaches for photovoltaic forecasts by means of machine learning
A Dolara, F Grimaccia, S Leva, M Mussetta, E Ogliari
Applied Sciences 8 (2), 228, 2018
322018
ANN sizing procedure for the day-ahead output power forecast of a PV plant
F Grimaccia, S Leva, M Mussetta, E Ogliari
Applied Sciences 7 (6), 622, 2017
322017
Computational intelligence techniques applied to the day ahead PV output power forecast: PHANN, SNO and mixed
E Ogliari, A Niccolai, S Leva, RE Zich
Energies 11 (6), 1487, 2018
242018
An evolutionary-based MPPT algorithm for photovoltaic systems under dynamic partial shading
A Dolara, F Grimaccia, M Mussetta, E Ogliari, S Leva
Applied Sciences 8 (4), 558, 2018
232018
Day-ahead forecasting for photovoltaic power using artificial neural networks ensembles
M Omar, A Dolara, G Magistrati, M Mussetta, E Ogliari, F Viola
2016 IEEE International Conference on Renewable Energy Research and …, 2016
212016
Advanced Methods for Photovoltaic Output Power Forecasting: A Review
A Mellit, A Massi Pavan, E Ogliari, S Leva, V Lughi
Applied Sciences 10 (2), 487, 2020
182020
PV module fault diagnosis based on microconverters and day-ahead forecast
S Leva, M Mussetta, E Ogliari
IEEE Transactions on Industrial Electronics 66 (5), 3928-3937, 2018
142018
PV hourly day-ahead power forecasting in a micro grid context
A Dolara, S Leva, M Mussetta, E Ogliari
2016 IEEE 16th International Conference on Environment and Electrical …, 2016
142016
A novel MPPT algorithm for photovoltie systems under dynamic partial shading—Recurrent scan and track method
A Dolara, S Leva, G Magistrati, M Mussetta, E Ogliari, RV Arvind
2016 IEEE International Conference on Renewable Energy Research and …, 2016
122016
Performance ratio of a PV power plant: Different panel technologies comparison
F Degli Uberti, R Faranda, S Leva, E Ogliari
Proc. Solar Energy Tech Workshop 8, 13-24, 2010
102010
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