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MARCO PIERRO
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Data-driven upscaling methods for regional photovoltaic power estimation and forecast using satellite and numerical weather prediction data
M Pierro, M De Felice, E Maggioni, D Moser, A Perotto, F Spada, ...
Solar Energy 158, 1026-1038, 2017
1622017
Integration of two-dimensional materials-based perovskite solar panels into a stand-alone solar farm
S Pescetelli, A Agresti, G Viskadouros, S Razza, K Rogdakis, ...
Nature Energy 7 (7), 597-607, 2022
1352022
Multi-Model Ensemble for day ahead prediction of photovoltaic power generation
M Pierro, F Bucci, M De Felice, E Maggioni, D Moser, A Perotto, F Spada, ...
Solar energy 134, 132-146, 2016
1232016
Master optimization process based on neural networks ensemble for 24-h solar irradiance forecast
C Cornaro, M Pierro, F Bucci
Solar Energy 111, 297-312, 2015
742015
Thermal performance analysis of an emergency shelter using dynamic building simulation
C Cornaro, D Sapori, F Bucci, M Pierro, C Giammanco
Energy and buildings 88, 122-134, 2015
702015
Using machine learning in photovoltaics to create smarter and cleaner energy generation systems: A comprehensive review
A Sohani, H Sayyaadi, C Cornaro, MH Shahverdian, M Pierro, D Moser, ...
Journal of Cleaner Production 364, 132701, 2022
682022
Deterministic and stochastic approaches for day-ahead solar power forecasting
M Pierro, F Bucci, M De Felice, E Maggioni, A Perotto, F Spada, D Moser, ...
Journal of Solar Energy Engineering 139 (2), 021010, 2017
642017
Progress in regional PV power forecasting: A sensitivity analysis on the Italian case study
M Pierro, D Gentili, FR Liolli, C Cornaro, D Moser, A Betti, M Moschella, ...
Renewable Energy 189, 983-996, 2022
552022
Techno-economic evaluation of a hybrid photovoltaic system with hot/cold water storage for poly-generation in a residential building
A Sohani, C Cornaro, MH Shahverdian, D Moser, M Pierro, AG Olabi, ...
Applied Energy 331, 120391, 2023
492023
Model Output Statistics cascade to improve day ahead solar irradiance forecast
MPFS M. Pierro, F. Bucci, C. Cornaro, E. Maggioni, A. Perotto
Solar Energy (Submitted ID: SE-S-14-01681), 2014
40*2014
Italian protocol for massive solar integration: Imbalance mitigation strategies
M Pierro, R Perez, M Perez, D Moser, C Cornaro
Renewable Energy 153, 725-739, 2020
382020
Predictive energy control strategy for peak shaving and shifting using BESS and PV generation applied to the retail sector
G Barchi, M Pierro, D Moser
Electronics 8 (5), 526, 2019
382019
Energy saving assessment of semi-transparent photovoltaic modules integrated into NZEB
C Cornaro, G Basciano, VA Puggioni, M Pierro
Buildings 7 (1), 9, 2017
372017
Full characterization of photovoltaic modules in real operating conditions: theoretical model, measurement method and results
M Pierro, F Bucci, C Cornaro
Progress in Photovoltaics: Research and Applications 23 (4), 443-461, 2015
362015
Italian protocol for massive solar integration: From solar imbalance regulation to firm 24/365 solar generation
M Pierro, R Perez, M Perez, MG Prina, D Moser, C Cornaro
Renewable Energy 169, 425-436, 2021
332021
A novel device to evaluate the stiffness of ankle-foot orthosis devices
P Cappa, F Patane, MM Pierro
J. Biomech. Eng. 125 (6), 913-917, 2003
332003
Thermal and electrical characterization of a semi-transparent dye-sensitized photovoltaic module under real operating conditions
C Cornaro, L Renzi, M Pierro, A Di Carlo, A Guglielmotti
Energies 11 (1), 155, 2018
322018
Photovoltaic generation forecast for power transmission scheduling: A real case study
M Pierro, M De Felice, E Maggioni, D Moser, A Perotto, F Spada, ...
Solar Energy 174, 976-990, 2018
302018
From firm solar power forecasts to firm solar power generation an effective path to ultra-high renewable penetration a New York case study
R Perez, M Perez, J Schlemmer, J Dise, TE Hoff, A Swierc, P Keelin, ...
Energies 13 (17), 4489, 2020
292020
Residual load probabilistic forecast for reserve assessment: A real case study
M Pierro, M De Felice, E Maggioni, D Moser, A Perotto, F Spada, ...
Renewable Energy 149, 508-522, 2020
282020
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