This code was developed by Pedro Sotorrio at Lawrence Livermore National Laboratory.
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Very early stages of a simple tool able to create multiple automated requests of different ISO data. Currently supporting:
- California Independent System Operator (CAISO).
- Midcontinent Independent System Operator (MISO).
- New York Independent System Operator (NYISO).
- Thomas Edmunds, Lawrence Livermore National Laboratory.
- Amelia Musselman, Lawrence Livermore National Laboratory.
- Pedro Sotorrio, Lawrence Livermore National Laboratory.
- Chih-Che Sun, Lawrence Livermore National Laboratory.
These are very basic instructions so any type of user can get ISO-DART up and running in their machines. More advance users can skip the appropriate steps.
Once Git and Anaconda are installed, in a terminal run the following commands:
git clone https://github.com/LLNL/ISO-DART.git # Clone ISO-DART GitHub repository
cd iso-dart # Change to iso-dart directory
conda create --name iso-dart python=3.8 # Create iso-dart Anaconda environment
conda activate iso-dart # Activate iso-dart environment
pip install -r requirements.txt # Install required packages
The tool as of now is very rudimentary, and it works as a simple command line script where the user answers a few questions regarding the type of data (ISO or weather data), the specific ISO or weather station, start date, and end date for the desired dataset.
In the command line just run the following command: python ISODART.py
The weather module uses the Meteostat python library. Although documentation can be found online, below you can find a description of the columns you will get in your dataset:
| Column | Description | Type |
|---|---|---|
| time | The datetime of the observation | Datetime64 |
| temperature | The air temperature in ºF | Float64 |
| dew_point | The dew point in ºF | Float64 |
| relative_humidity | The relative humidity in percent (%) | Float64 |
| precipitation | The one hour precipitation total in inches | Float64 |
| snow_depth | The snow depth in inches | Float64 |
| wind_dir | The average wind direction in degrees (º) | Float64 |
| wind_speed | The average wind speed in mph | Float64 |
| wind_peak_gust | The peak wind gust in mph | Float64 |
| air_pressure | The average sea-level air pressure in hPa | Float64 |
| sunshine | The one hour sunshine total in min | Float64 |
| weather_condition | The weather condition description | String |
NOTE
Keep in mind some of these columns will not show up in the final dataset because the program will drop those columns where all values are null.
National Solar Radiation Database (NSRDB) API
Within the weather module, the user has the opportunity to download solar data for the same location they downloaded weather data previously.
The first time the user decides to use this capability, they will be guided on how to get an API token and provide it to the program. ISO-DART will save that information in a configuration file, so the user doesn't have to go through the same process ever again.