Developing a Linear regression model for forecasting solar panel intensity using local weather data.
Parameters for weather data include:
- Temperature
- Humidity
- Hours
Output:
- Predicted solar power generated (MW)
- Deviation from observed solar panel measurements
Presumptions based on Weather Underground data:
- Humidity represents relative humidity in percentage
- Temperature is taken as average temperature in Fahrenheit
Hours of Daylight
https://aa.usno.navy.mil/data/Dur_OneYear
Weather data
https://www.wunderground.com/history/monthly/us/al/birmingham/KBHM
Solar panel performance data