[hwers]

Could you give a sense about what the interesting problems there are? I get the sense (knowing nothing) that it's maybe similar to ML in the sense that only a few top research labs does all the fun stuff. The internet in the 90s had tons of low hanging fruit just about anyone could pluck.

[jwitchel]

Energy is fundamentally an economic problem so you're looking for places that reduce the incremental cost to deliver a kWh of renewable energy consistently over a long period of time. There is a shocking amount of soft costs (lawyers, permitting, financing, insurance, monitoring, sales, etc.) in renewables. Software can help with a lot of that. Fintech too.

The scale of our global energy infrastructure is incredible so small gains can have outsized impacts. I encourage you to just dig in.

[tinodb]

Can only speak for ourselves, but at Solar Monkey we make software for solar panel installers and consumers. We have plenty of fun challenges! Like figuring out how to make it easy for sales people to design (electrically) valid solar panel set ups, as well as determining whether systems perform well for consumers based on yield data (with both analytical and ML models).