Gods Sunshine

https://testing.sudhanshujain.com/sunshine9/gods-sunshine.pdf

https://testing.sudhanshujain.com/sunshine9/

Our Goal: To assist in Decision Making on whether it is appropriate to install Solar Panel at current user premises or not based on abundance sunshine availability.

Technique used: If average weekly Sunshine availability data value is greater than 120 then installation recommended.

If average weekly Sunshine availability data value is less than 120 then installation is not recommended.

A week is calculated based on plus 3 days from the given date and minus 3 days from given date by user. User simply needs to enter single date in format YYYY/MM/DD .

We use NASA POWER DATA to get daily sunshine data values and then calculate average weekly sunshine availability. Benchmark Value: 120 means enough sunshine generally during day light time.

We have used ASP.Net C# code to fetch and process NASA POWER DATA and HTML , CSS, JavaScript to render display on client both Mobile and Desktop.

We use NASA POWER DATA to get daily sunshine data values and then calculate average weekly sunshine availability. Benchmark Value: 120 means enough sunshine generally during day light time.

We have used ASP.Net C# code to fetch and process NASA POWER DATA and HTML , CSS, JavaScript to render display on client both Mobile and Desktop.

We thank you for the opportunity. We learnt about open data set and information available to make useful and meaningful solutions to assist humans in their work of space, weather and world subject matters.

NASA POWER DATA

ASP.Net

Godaddy domain

HTML, CSS, JavaScript

#spaceapps

This project has been submitted for consideration during the Judging process.