feat: add generate_forecasts script #99
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This commit introduces a new script named generate_forecasts.py that generates solar power forecasts for multiple photovoltaic (PV) sites.
The script contains a function called generate_forecasts that takes a list of site information tuples and a forecast date as input. For each site, it creates a PVSite object, runs the forecast using the run_forecast function from the quartz_solar_forecast module, and generates a DataFrame containing the site's latitude, longitude, capacity, and power forecast values.
The script then concatenates all the site DataFrames into a single DataFrame and returns it. The resulting DataFrame has columns for each site's latitude, longitude, capacity, and power forecast, with a column name in the format "{pv_id} Power". The index of the DataFrame is set to the forecast dates.
The script also includes an example usage section that demonstrates how to call the generate_forecasts function with sample site information and a forecast date. The generated forecasts are then saved to a CSV file named pv_forecasts.csv.
This script can be used to generate solar power forecasts for multiple PV sites, which can be useful for various applications, such as energy management, grid integration, and financial analysis.
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Hi @JadeVexo! Thanks for working on this. |
zakwatts
requested changes
Apr 17, 2024
scripts/generate_forecasts.py
Outdated
| # Add more sites as needed, with format (pv_id, latitude, longitude, capacity) | ||
| ] | ||
| forecast_date = "2023-11-01" # Forecast date | ||
| output_file = "pv_forecasts.csv" # Output file name |
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Could you change the output file name to include the forecast_date, and also mention that is for multiple sites. Maybe "multiple_pv_forecasts_{forecast_date}"?
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Ok. Have had my finals this week. Will have the changes pushed by tonight
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I have made the changes as requested. Anything else to be done? |
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Could the output file include the forecast data? ("multiple_pv_forecasts_{forecast_date}"?) |
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Then happy to merge |
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Pull Request
Description
This commit introduces a new script named generate_forecasts.py that generates solar power forecasts for multiple photovoltaic (PV) sites.
The script contains a function called generate_forecasts that takes a list of site information tuples and a forecast date as input. For each site, it creates a PVSite object, runs the forecast using the run_forecast function from the quartz_solar_forecast module, and generates a DataFrame containing the site's latitude, longitude, capacity, and power forecast values.
The script then concatenates all the site DataFrames into a single DataFrame and returns it. The resulting DataFrame has columns for each site's latitude, longitude, capacity, and power forecast, with a column name in the format "{pv_id} Power". The index of the DataFrame is set to the forecast dates.
The script also includes an example usage section that demonstrates how to call the generate_forecasts function with sample site information and a forecast date. The generated forecasts are then saved to a CSV file named pv_forecasts.csv.
This script can be used to generate solar power forecasts for multiple PV sites.
How Has This Been Tested?
Please describe the tests that you ran to verify your changes. Provide instructions so we can reproduce.
Please also list any relevant details for your test configuration
If your changes affect data processing, have you plotted any changes? i.e. have you done a quick sanity check?
Checklist: