Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Robert Blaga"'
Autor:
Robert Blaga, Sneha Gautam
Publikováno v:
npj Climate and Atmospheric Science, Vol 7, Iss 1, Pp 1-9 (2024)
Abstract Low-cost particulate matter sensors (LCS) are vital for improving the spatial and temporal resolution of air quality data, supplementing sparsely placed official monitoring stations. Despite their benefits, LCS readings can be biased due to
Externí odkaz:
https://doaj.org/article/86f849522fc4420caf1dd332836ef461
Publikováno v:
Remote Sensing, Vol 16, Iss 19, p 3618 (2024)
A quasi-consensus has steadily formed in the scientific literature on the fact that the prevention measures implemented by most countries to curb the 2020 COVID-19 pandemic have led to significant reductions in pollution levels around the world, espe
Externí odkaz:
https://doaj.org/article/48811bf37f96408cb55d90b6f7e06f5c
Autor:
Robert Blaga
Publikováno v:
Annals of West University of Timisoara - Physics. 64:95-107
In this paper, a bias-correction of clear-sky models in prediction of the diffuse solar irradiance is presented. High quality ground date from two networks is used for model input and validation: aerosol optical depth from AERONET and diffuse solar i
Publikováno v:
Annals of West University of Timisoara - Physics. 64:148-157
This study deals with the performance of PV2-state model in intra-hour forecasting of photovoltaic (PV) power. The PV2-state model links an empirical model for estimating the PV power delivered by a PV system under clear-sky with a model for forecast
Autor:
Nicolina Pop, Eugenia Paulescu, Remus Boata, Robert Blaga, Oana Mares, Sorin Bojin, Marius Paulescu, Andreea Sabadus, Nicoleta Stefu, Delia Calinoiu
Publikováno v:
Meteorology and Atmospheric Physics. 133:1395-1407
It is entirely apparent that an accurate estimation of global horizontal solar irradiance (GHI) does not guarantee an accurate estimation of its fundamental components. This basic perception motivates the present study, which evaluates the ability of
Autor:
Marius Paulescu, Robert Blaga, Ciprian Dughir, Nicoleta Stefu, Andreea Sabadus, Delia Calinoiu, Viorel Badescu
Publikováno v:
SSRN Electronic Journal.
Autor:
Robert Blaga
Publikováno v:
Solar Energy. 191:371-381
Passing clouds and the phenomenon of cloud enhancement (CE) can cause severe fluctuations in the incoming solar radiation. The modeling of PV systems’ operation is conditioned by the ability of forecasting and estimation models to capture such phen
Autor:
Eugenia Paulescu, Robert Blaga
Publikováno v:
Solar Energy. 180:75-84
Recent progress in radiometry allows the development of diffuse fraction models based on data stored at high-frequency sampling. At the present only a handful of such models exist in the literature. In this paper, we present a new and simple model fo
Autor:
Marius Paulescu, Viorel Badescu, Robert Blaga, Ciprian Dughir, Andreea Sabadus, Nicoleta Stefu
Publikováno v:
Progress in Energy and Combustion Science. 70:119-144
The state-of-the-art in the accuracy of solar resources forecasting is obtained by using results reported in 1705 accuracy tests reported in several geographic regions (North America, Europe, Asia, Australia). There is a tendency in literature to avo
Autor:
Ian Marius Peters, Dennis van der Meer, Frank Vignola, Marius Paulescu, Christian A. Gueymard, Âzeddine Frimane, Hans Georg Beyer, J. Antonanzas, Jie Zhang, Stefano Alessandrini, Philippe Lauret, Sven Killinger, Tao Hong, Ruben Urraca, Viorel Badescu, Jan Kleissl, Yves-Marie Saint-Drenan, Carlos F.M. Coimbra, Richard Perez, F. Antonanzas-Torres, Yong Shuai, Elke Lorenz, Gordon Reikard, Cyril Voyant, John Boland, Hadrien Verbois, David Renné, Jamie M. Bright, Mathieu David, Dazhi Yang, Oscar Perpiñán-Lamigueiro, Merlinde Kay, Robert Blaga
Publikováno v:
Solar Energy
Solar Energy, Elsevier, 2020, 210, pp.20-37. ⟨10.1016/j.solener.2020.04.019⟩
Solar Energy, Elsevier, 2020, ⟨10.1016/j.solener.2020.04.019⟩
Solar energy 210, 20-37 (2020). doi:10.1016/j.solener.2020.04.019
Solar Energy, Elsevier, 2020, 210, pp.20-37. ⟨10.1016/j.solener.2020.04.019⟩
Solar Energy, Elsevier, 2020, ⟨10.1016/j.solener.2020.04.019⟩
Solar energy 210, 20-37 (2020). doi:10.1016/j.solener.2020.04.019
The field of energy forecasting has attracted many researchers from different fields (e.g., meteorology, data sciences, mechanical or electrical engineering) over the last decade. Solar forecasting is a fast-growing subdomain of energy forecasting. D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46829dcbfbb1a8e53542e9c668a9180c
https://hal.archives-ouvertes.fr/hal-03053222
https://hal.archives-ouvertes.fr/hal-03053222