Flask app to predict daily radiation from the time series of Solcast from Islamabad, Pakistan

Overview

End-to-End Machine Learning of Historical Solar Radiation for Islamabad

Link: https://solar-isb-flaskapp.herokuapp.com/

Flask app to predict daily radiation from the time series of Solcast from Islamabad, Pakistan.

Input: month, day, Daily_Temp, Daily_Precip, Daily_Humidity, Daily_Pressure, Daily_WindDir, Daily_WindSpeed, Daily_DNI, Daily_GHI Output: Daily_radiation

Use Json Input

{
    "month":12,
    "day":3,
    "Daily_Temp":10.98,
    "Daily_Precip":9.07,
    "Daily_Humidity":59.20,
    "Daily_Pressure":929.06,
    "Daily_WindDir":167.30,
    "Daily_WindSpeed":1.86,
    "Daily_DNI":522.20,
    "Daily_GHI":324.60
}

Results

[
    {
        "Daily_DNI": 522.2,
        "Daily_GHI": 324.6,
        "Daily_Humidity": 59.2,
        "Daily_Precip": 9.07,
        "Daily_Pressure": 929.06,
        "Daily_Temp": 10.98,
        "Daily_WindDir": 167.3,
        "Daily_WindSpeed": 1.86,
        "day": 3,
        "month": 12
    },
    {
        "solar irradiance": 92.71980683342349
    }
]

Postman

result1

Mlflow

result2

NeptuneAI

result3

Owner
Abid Ali Awan
Love building machine learning product and working on MLOps. Currently, focusing on content creation, building brand, and startup.
Abid Ali Awan
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