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README.md
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@@ -22,10 +22,14 @@ The forecasting model is built using the Prophet library in Python, which is dev
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- Usage
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The main script (main.py) contains the function predict_and_evaluate, which takes the following inputs:
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csv_file: Path to the CSV file containing the time series data.
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days_to_predict: Number of days to forecast into the future.
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freq: Frequency of the data (e.g., "2H" for 2 hourly).
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country_name: Country code for holiday consideration (e.g., "UK" or "DE").
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The function returns evaluation metrics and a plot of the forecasted values.
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- Example
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- Usage
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The main script (main.py) contains the function predict_and_evaluate, which takes the following inputs:
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csv_file: Path to the CSV file containing the time series data. The csv must have 3 columns in order (datetime, electricty consumption, temperature)
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days_to_predict: Number of days to forecast into the future.
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freq: Frequency of the data (e.g., "2H" for 2 hourly).
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country_name: Country code for holiday consideration (e.g., "UK" or "DE").
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The function returns evaluation metrics and a plot of the forecasted values.
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- Example
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