Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Hwayoung Jeon"'
Autor:
Milad Roohi, Saeid Ghasemi, Omar Sediek, Hwayoung Jeon, John W. van de Lindt, Martin Shields, Sara Hamideh, Harvey Cutler
Publikováno v:
Resilient Cities and Structures, Vol 3, Iss 2, Pp 66-84 (2024)
The multi-disciplinary data and information available at a community level comprise the foundation of natural hazard resilience modeling. These data enable and inform mitigation and recovery planning decisions prior to and following damaging events s
Externí odkaz:
https://doaj.org/article/cbbf6d6c13374a2cb6470fef201726f0
Autor:
Rebecca Hill, Martin Shields, Tao Lu, Harvey Cutler, Yuchen Hu, Hwayoung Jeon, Brad Hartman, David D. Turner
Publikováno v:
Bulletin of the American Meteorological Society. 103:E198-E211
Forecasts from numerical weather prediction (NWP) models play a critical role in many sectors of the U.S. economy. Improvements to operational NWP model forecasts are generally assumed to provide significant economic savings through better decision-m
Autor:
Hwayoung Jeon
Publikováno v:
SSRN Electronic Journal.
Autor:
Hwayoung Jeon
Publikováno v:
The Electricity Journal. 35:107170
Autor:
Hwayoung Jeon
Publikováno v:
The Electricity Journal. 35:107140
Autor:
Hwayoung Jeon, Brad Hartman, Harvey Cutler, Rebecca Hill, Yuchen Hu, Tao Lu, Martin Shields, David D. Turner
Publikováno v:
Journal of Renewable and Sustainable Energy. 14:036101
Each year the U.S. government makes significant investments in improving weather forecast models. In this paper, we use a multidisciplinary approach to examine how utilities can benefit from improved wind-speed forecasts to more efficiently use wind-