Young CAADRIA Award - 2022

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How to use TRUBA for deep learning with PyTorch - 2

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Today, we’ll build on the basics by diving deeper into TRUBA's functionalities. I will guide you through more advanced commands and configurations in your home directory. Following our baby steps metaphor, we’ll continue nurturing your project from its early stages to more complex operations. This tutorial is designed for macOS systems with Apple Silicon computers. Breathe When you want to execute computation, you need to prepare a .slurm file How to prepare .slurm file (e.g., job.slurm) ( 1 , 2 , 3 )  Go to personal directory: type cd /truba_scratch/username Start a .slurm file with touch jobName.slurm Delete a .slurm file with rm jobName.slurm Edit .slurm with command vi  To enter insert mode: Press i To save changes: Press Esc , then type :w and press Enter To exit without save: Press Esc , then type :q and press Enter To exit with save: Press Esc , then type :wq and press Enter Example .slurm file #!/bin/bash #SBATCH -J "trial" #SBATCH -A username #SBATCH ...
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07.09.2017 - How to create or modify EnergyPlus Weather Data (EPW)

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How to modify a weather (EPW) file or create new ? Elements  is a free, open-source, cross-platform software tool for creating and editing custom weather files for building energy modeling. The goal of the project is to develop a comprehensive, integrated application suitable for handling all of the common tasks associated with weather files. link:  http://bigladdersoftware.com/projects/elements/ How to modify a weather (EPW) file with other data? run the weather converter on the original file (Energyplus component) convert the file to "EnergyPlus CSV" (it exist in excel) open the EnergyPlus CSV file in your favorite spreadsheet program. (excel) make the mods, saving it as CSV from the spreadsheet program. run the weather converter again, this time selecting the CSV and make sure the File type is "EnergyPlus CSV" convert it to EPW. link :  http://bigladdersoftware.com/epx/docs/8-3/auxiliary-programs/energyplus-weather-file-epw-data-diction...
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An Algorithm for Efficient Urban Building Energy Modeling and Simulation

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Abstract: The urban population increases continuously since the industrial revolution, and the residential buildings have the primary responsibility for the total energy demand. There is a need for the analysis of the residential building stock for energy efficiency and sustainable planning. However, energy modeling and simulation in urban scale is expensive in computational complexity and time, due to various building geometries and occupancy types. This research proposes a method to increase the efficiency of the simulation process by reorganizing the building geometries with functional clustering and radiation analysis scaling. In order to accelerate the urban building energy modeling (UBEM) process, the building geometries are modified based on energy simulation standards, then, clustering is determined based on radiation analysis and outside boundary conditions. The candidates are selected according to the selection percentage that has been identified before the process to simul...
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