While AI can help renewable companies get ahead, it will only take them so far without quality, clean data.
As the AI revolution keeps on turning, it’s tempting for renewable energy companies to jump on the machine learning bandwagon. In many cases, it can be a smart business decision.
Still, at the end of the day, what’s going to help companies scale isn’t necessarily advanced analytics, but something decidedly less sexy: clean, normalized, site-level data.
While a misestimation might not sound like it’s the stuff of nightmares, the price tag it comes with could be. Hopper noted that, particularly as climate volatility continues increasing, it’s more important than ever to understand what’s happening at a given site at relatively granular intervals.
There can be big expenditure differences, where maybe you budget X amount of money for your power on this day, but a heat wave hits and you end up paying X plus 10. That’s a big difference.