Smart estimation for Github hosted runners

[jhowlett-scottlogic]

Github hosted runners do not currnetly give their exact location. Github uses the following azure regions (https://github.com/orgs/community/discussions/24969):

East US (eastus)
East US 2 (eastus2)
West US 2 (westus2)
Central US (centralus)
South Central US (southcentralus)

can we estiamte the most likely best time?

ideas:

1. sum up each region's forecasted carbon intensity for each timestamp, select lowest total (my current favourite)
2. look at optimalDataPoints array for each region and select highest count, they could all be 1 if all arre different though

Open to ideas here on what could be the best method

Once this is completed we can then add a new input inot the action that is a boolean for github hosted, if true use this new method and will ignore the existing regions input, false use exisiting method

required completion of #17 first