Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Malaquias Peña"'
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:
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:
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:
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
Publikováno v:
Remote Sensing, Vol 13, Iss 1, p 57 (2020)
The SARAL-AltiKa dataset was evaluated for refined offshore wind energy resources assessment and potential metocean monitoring capability in the Southern New England region. Surface wind speed and Significant Wave Height (Hs) products were assessed w
Externí odkaz:
https://doaj.org/article/35c173092e724efe9dddc3ec5e5d5b29
Autor:
Malaquias Peña, Zoltan Toth
Publikováno v:
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 66, Iss 0, Pp 1-16 (2014)
Accurate estimates of error variances in numerical analyses and forecasts (i.e. difference between analysis or forecast fields and nature on the resolved scales) are critical for the evaluation of forecasting systems, the tuning of data assimilation
Externí odkaz:
https://doaj.org/article/c0d98311a88b47efa0f7845b7b017829
Publikováno v:
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 69, Iss 1 (2017)
Accurate estimates of ‘true’ error variance between Numerical Weather Prediction (NWP) analyses and forecasts and the ‘reality’ interpolated to a NWP model grid (Analysis and true Forecast Error Variance, hereafter AFEV) are critical for succ
Externí odkaz:
https://doaj.org/article/667d13fe83bd47e2af701c6ca426e788
Publikováno v:
Weather and Forecasting. 37:495-509
The performance of first-moment and full-distribution bias-correction methods of monthly temperature distributions for seasonal prediction is analyzed by comparing two approaches: the standard all-in-data procedure and the 6-hourly stratification of
Publikováno v:
2023 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT).