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SELECTED PAPERS
(since 2013)
[1]
Paulescu M, Blaga R, Dughir C, Stefu N, Sabadus A, Calinoiu D, Badescu V (2023)
Intra-hour PV power forecasting based on sky imagery. Energy, 128135.
[2]
Paulescu M, Stefu N, Dughir C, Sabadus A, Calinoiu D, Badescu V (2022) A
simple but accurate two-state model for nowcasting PV power. Renewable
Energy 195, 322-330.
[3]
Hategan SM, Paulescu M (2022) Spectral Factor of Colored Solar Cells: A
Case Study on the Main Urban Areas in Romania. International Journal of
Photoenergy, Article ID: 8494818.
[4]
Blaga R, Calinoiu D, Stefu N, Boata R, Sabadus A, Paulescu E, Pop N, Mares
O, Bojin S, Paulescu M (2021) Quantification of the aerosol-induced errors
in solar irradiance modeling. Meteorology and Atmospheric Physics 133 (4),
1395-1407.
[5]
Paulescu E, Paulescu M (2021) A new clear sky solar irradiance model. Renewable
Energy 179, 2094-2103.
[6]
Blaga R, Calinoiu D, Paulescu M. (2021) A one-parameter family of clear-sky
solar irradiance models adapted for different aerosol types. Journal of
Renewable and Sustainable Energy 13(2), Article Number: 023701
[7]
Paulescu M, Sabadus A, Dumitrescu A, Badescu V. A new parameterization of
the effective cloud fields. Theoretical and Applied Climatology, 142(1-2),
769-779 (2020)
[8]
Paulescu M, Paulescu E (2019) Short-term forecasting of solar irradiance.
Renewable Energy 143, 985-994 (2019)
[9]
Blaga R, Sabadus A, Stefu N, Dughir C, Paulescu M, Badescu V (2019) A
current perspective on the accuracy of incoming solar energy forecasting.
Progress in Energy and Combustion Science 70, 119-144.
[10]
Calinoiu D, Stefu N, Boata R, Blaga R, Pop N, Paulescu E, Sabadus A,
Paulescu M (2018) Parametric modeling: A simple and versatile route to
solar irradiance
Energy
Conversion and Management 164, 175-187.
[11]
Blaga R, Paulescu M (2018) Quantifiers for the solar irradiance
variability: A new perspective. Solar Energy 174, 606-616.
[12]
Paulescu M, Brabec M, Boata R, Badescu V (2017) Structured, physically
inspired (gray box) models versus black box modeling for forecasting the
output power of photovoltaic plants. Energy 121, 792-802.
[13]
Paulescu M, Stefu N, Calinoiu D, Paulescu E, Pop N, Boata R, Mares O (2016)
Ångström – Prescott equation: Physical basis, empirical models and
sensitivity analysis. Renewable and Sustainable Energy Reviews 62: 495-506.
[14]
Stefu N, Paulescu M, Blaga R, Calinoiu D, Pop N, Boata R, Paulescu E (2016)
A theoretical framework for Ångström equation. Its virtues and liabilities
in solar energy estimation. Energy Conversion and Management, 112, 236-245.
[15]
Paulescu E, Blaga R (2016) Regression models for hourly diffuse solar
radiation. Solar Energy 125, 111-124.
[16]
Mares O, Paulescu M, Badescu V (2015) A simple but accurate procedure for
solving the five-parameter model. Energy Conversion and Management 105,
139-148.
[17]
Calinoiu D, Stefu N, Paulescu M, Trif-Tordai G, Mares O, Paulescu E, Boata
R, Pop N, Pacurar A (2014) Evaluation of errors made in solar irradiance
estimation due to averaging the Angstrom turbidity coefficient. Atmospheric
Research, 150, 69-78.
[18]
Paulescu M, Mares O, Paulescu E, Stefu N, Pacurar A, Calinoiu D, Gravila P,
Pop N, Boata, R (2014) Nowcasting solar irradiance using the sunshine
number. Energy Conversion and Management 79, 690-697.
[19]
Pop N, Pacurar A, Boata R, Gravila P, Paulescu M (2014) Assessment of beam
solar irradiance using parametric modeling. International Journal of Green
Energy 11, 876-885.
[20]
Calinoiu D, Paulescu M, Ionel I, Stefu N, Pop N, Boata R, Pacurar A,
Gravila P, Paulescu E, Trif-Tordai G. Influence of aerosols pollution on
the amount of collectable solar energy (2013) Energy Conversion and
Management 70, 76-82.
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