Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Malaquias Pena"'
Publikováno v:
IEEE Access, Vol 12, Pp 92652-92662 (2024)
Planning and operational systemwide analyses relying on a deterministic optimal power flow (OPF) are subject to the uncertainties associated with the stochasticity of non-conventional renewables such as solar and wind. In this context, forecasting te
Externí odkaz:
https://doaj.org/article/ff80232c5a4844618dda7da3340364c0
Publikováno v:
2022 North American Power Symposium (NAPS).
Autor:
Kirtman, Ben P., Min, Dughong, Infanti, Johnna M., Kinter, James L., Paolino, Daniel A., Zhang, Qin, van den Dool, Huug, Saha, Suranjana, Mendez, Malaquias Pena, Becker, Emily, Peng, Peitao, Tripp, Patrick, Huang, Jin, DeWitt, David G., Tippett, Michael K., Barnston, Anthony G., Li, Shuhua, Rosati, Anthony, Schubert, Siegfried D., Rienecker, Michele, Suarez, Max, Li, Zhao E., Marshak, Jelena, Lim, Young-Kwon, Tribbia, Joseph, Pegion, Kathleen, Merryfield, William J., Denis, Bertrand, Wood, Eric F.
Publikováno v:
Bulletin of the American Meteorological Society, 2014 Apr 01. 95(4), 585-601.
Externí odkaz:
https://www.jstor.org/stable/26218952
Autor:
Saha, Suranjana, Moorthi, Shrinivas, Wu, Xingren, Wang, Jiande, Nadiga, Sudhir, Tripp, Patrick, Behringer, David, Hou, Yu-Tai, Chuang, Hui-ya, Iredell, Mark, Ek, Michael, Meng, Jesse, Yang, Rongqian, Mendez, Malaquías Peña, van den Dool, Huug, Zhang, Qin, Wang, Wanqiu, Chen, Mingyue, Becker, Emily
Publikováno v:
Journal of Climate, 2014 Mar . 27(6), 2185-2208.
Externí odkaz:
https://www.jstor.org/stable/26193350
Autor:
Altan Unlu, Malaquias Peña
Publikováno v:
Energies, Vol 17, Iss 4, p 796 (2024)
The higher penetration of renewable energy sources in current and future power grids requires effective optimization models to solve economic dispatch (ED) and optimal power flow (OPF) problems. Data-driven optimization models have shown promising re
Externí odkaz:
https://doaj.org/article/23ef4775c05241c3a8bcabedd15bb418
Autor:
Yue Yin, Malaquias Peña
Publikováno v:
Water, Vol 16, Iss 2, p 250 (2024)
A continuous and multi-decadal surface water extent (SWE) record is vital for water resources management, flood risk assessment, and comprehensive climate change impact studies. The advancements in remote sensing technologies offer a valuable tool fo
Externí odkaz:
https://doaj.org/article/e647f60f47ec490a81df969845e923d5
Autor:
Ismael Guidson Farias de Freitas, Helber Barros Gomes, Malaquias Peña, Panagiotis Mitsopoulos, Thayna Silva Vila Nova, Kécia Maria Roberto da Silva, Alan James Peixoto Calheiros
Publikováno v:
Wind, Vol 2, Iss 3, Pp 586-598 (2022)
This study aims to evaluate wind speed and significant wave height data from the Copernicus Marine Environment Monitoring Service (CMEMS) reanalysis using buoy measurements for offshore energy application off the east coast of Brazil. Such analysis h
Externí odkaz:
https://doaj.org/article/bb3931f0881d4ead8a9efd2a41ee278a
Autor:
Xingren Wu, Suranjana Saha, Jiande Wang, Woollen, Jack, Tripp, Patrick, Malaquias Pena, Shrinivas Moorthi, Behringer, David, Partha Bhattacharjee, Wang, Jun, Chawla, Arun, Avichal Mehra, Ek, Mike, Jiarui Dong, Li, Xu, Lu, Sarah, Kleist, Daryl, Penny, Steve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d25e449285ccaa4dbcd214fdbe2b76ad
Autor:
Panagiotis Mitsopoulos, Malaquias Peña
Publikováno v:
Remote Sensing, Vol 15, Iss 4, p 987 (2023)
Wind speed and significant wave height are the most relevant metocean variables that support a wide range of engineering and economic activities. Their characterization through remote sensing estimations is required to compensate for the shortage of
Externí odkaz:
https://doaj.org/article/bff17088c1ea484290ea4e3a38245c8a
Autor:
Rodrigo Lins da Rocha Júnior, David Duarte Cavalcante Pinto, Fabrício Daniel dos Santos Silva, Heliofábio Barros Gomes, Helber Barros Gomes, Rafaela Lisboa Costa, Marcos Paulo Santos Pereira, Malaquías Peña, Caio Augusto dos Santos Coelho, Dirceu Luís Herdies
Publikováno v:
Water, Vol 13, Iss 12, p 1613 (2021)
The Northeast region of Brazil (NEB) is characterized by large climate variability that causes extreme and long unseasonal wet and dry periods. Despite significant model developments to improve seasonal forecasting for the NEB, the achievement of a s
Externí odkaz:
https://doaj.org/article/e81ce306a8ba47339916454e17b2a377