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pro vyhledávání: '"T. Agami Reddy"'
Publikováno v:
Natural Hazards.
Publikováno v:
Science and Technology for the Built Environment. 28:645-661
Autor:
Cherie Gambino, T. Agami Reddy
Publikováno v:
ASME 2021 15th International Conference on Energy Sustainability.
Stakeholders in the aviation industry committed to a goal of 50% reduction in carbon emissions by the year 2050, to be achieved by reducing emissions 1.5% each year from 2020 onwards. There are multiple pathways to achieve this goal however; with, th
Publikováno v:
Transportation Research Part E: Logistics and Transportation Review. 163:102752
Akademický článek
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Autor:
Salim Moslehi, T. Agami Reddy
Publikováno v:
Applied Energy. 239:482-493
There are two dimensions to “sustainability” as it applies to an engineered system: (i) it needs to be designed, operated, and managed such that its environmental impacts and costs are minimal, and, (ii) it ought to be designed and configured in
Autor:
T. Agami Reddy, Salim Moslehi
Publikováno v:
Applied Energy. 228:487-498
One of the key elements of any community or facility is the integrated energy system (IES) which consists of utility power plants, distributed generation systems, and building heating and cooling systems. Assessing the sustainability of an IES would
Autor:
Alireza Inanlouganji, Giulia Pedrielli, T. Agami Reddy, Thomaz Carvalhaes, Petar Jevtic, Esther Boyle
Publikováno v:
SSRN Electronic Journal.
The increasing occurrence of extreme weather events urges us to reevaluate the resiliency and vulnerability aspects of our most critical infrastructures --- such as power grids --- as their failures result in both economic loss and severe human hards
Publikováno v:
SSRN Electronic Journal.
We propose a supervised learning approach to statistically quantify the magnitude of extreme events on vulnerable communities using publicly available panel data directly reflective of the different dimensions and manifestations of social suffering.
Autor:
T. Agami Reddy, Gregor P. Henze
Now in a thoroughly revised and expanded second edition, this classroom-tested text demonstrates and illustrates how to apply concepts and methods learned in disparate courses such as mathematical modeling, probability, statistics, experimental desig