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Maede Najian
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Proceedings Papers

Effect of Non-Isothermal Conditions on Wind Patterns Near Isolated High-Rise Buildings

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Maede Najian, Shivesh Sharma, Navid Goudarzi
Proc. ASME. POWER2024, ASME 2024 Power Conference, V001T06A009, September 15–18, 2024
Publisher: American Society of Mechanical Engineers
Paper No: POWER2024-138900
https://doi.org/10.1115/POWER2024-138900
View Paper titled, Effect of Non-Isothermal Conditions on Wind Patterns Near Isolated High-Rise Buildings
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Topics: Air flow, Cities, Computational fluid dynamics, Dynamics (Mechanics), Structures, Temperature, Urban planning, Wind
Proceedings Papers

Towards Improving High Spatiotemporal Weather Forecast Accuracy With Data-Driven Modeling

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Shivesh Sharma, Maede Najian, Navid Goudarzi
Proc. ASME. ES2024, ASME 2024 18th International Conference on Energy Sustainability, V001T01A012, July 15–17, 2024
Publisher: American Society of Mechanical Engineers
Paper No: ES2024-131519
https://doi.org/10.1115/ES2024-131519
View Paper titled, Towards Improving High Spatiotemporal Weather Forecast Accuracy With Data-Driven Modeling
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Topics: Modeling, Spatiotemporal phenomena, Weather forecasting, Artificial neural networks, Computational fluid dynamics, Resolution (Optics), Algorithms, Boundary-value problems, Cities, Engineering simulation
Proceedings Papers

Sustainable Building Energy Modeling: the Synergistic Interplay of Urban Heat Island, Heat Waves, and Climate Zones

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Maede Najian, Navid Goudarzi
Proc. ASME. FEDSM2024, Volume 1: Fluid Applications and Systems (FASTC); Fluid Measurement and Instrumentation (FMITC); Fluid Mechanics (FMTC); Multiphase Flow (MFTC), V001T01A027, July 15–17, 2024
Publisher: American Society of Mechanical Engineers
Paper No: FEDSM2024-131524
https://doi.org/10.1115/FEDSM2024-131524
View Paper titled, Sustainable Building Energy Modeling: the Synergistic Interplay of Urban Heat Island, Heat Waves, and Climate Zones
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Topics: Climate, Green buildings, Heat, Modeling, Urban heat islands, Waves
Proceedings Papers

Evaluating Critical Weather Parameters Using Machine Learning Models

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Maede Najian, Navid Goudarzi
Proc. ASME. POWER2023, ASME Power Applied R&D 2023, V001T04A006, August 6–8, 2023
Publisher: American Society of Mechanical Engineers
Paper No: POWER2023-108893
https://doi.org/10.1115/POWER2023-108893
View Paper titled, Evaluating Critical Weather Parameters Using Machine Learning Models
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Topics: Machine learning, Microclimate, Modeling, Wind, Cities, Computational fluid dynamics, Errors, Flow (Dynamics), Wind velocity, Algorithms