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https://github.com/kingabzpro/solar-radiation-isb-mlops
Flask app to predict daily radiation from the time series of Solcast from Islamabad, Pakistan.
https://github.com/kingabzpro/solar-radiation-isb-mlops
flaskapi heroku mlops radiation regression-models sklearn solar-energy
Last synced: about 7 hours ago
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Flask app to predict daily radiation from the time series of Solcast from Islamabad, Pakistan.
- Host: GitHub
- URL: https://github.com/kingabzpro/solar-radiation-isb-mlops
- Owner: kingabzpro
- License: apache-2.0
- Created: 2021-12-31T10:36:24.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2022-02-26T13:10:24.000Z (over 2 years ago)
- Last Synced: 2024-01-30T12:54:56.820Z (10 months ago)
- Topics: flaskapi, heroku, mlops, radiation, regression-models, sklearn, solar-energy
- Language: Jupyter Notebook
- Homepage: https://solar-isb-flaskapp.herokuapp.com/
- Size: 9.46 MB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# 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
```json
{
"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
```json
[
{
"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
}
]
```
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