In the current stage of our transition to renewables, the "greenness" of our electricity varies wildly throughout the day. I'm building a ML system to predict t

In the current stage of our transition to renewables, the "greenness" of our electricity varies wildly throughout the day. I'm building a ML system to predict the next 7 days of "greenness" (and electricity price) in the hope that folks can reduce their carbon footprint, for example by: - choosing a 'green' time of day to charge an EV - 'overdrive' heating/cooling during times of high greenness, reducing usage during - dream: a large scale user could take greenness into account when scheduling - dream: the nightly weather report includes a green forecast Feedback on idea/execution greatly appreciated! http://greenforecast.au http://greenforecast.au