What if you could tap into a more affordable and efficient energy system, all while supporting grid stability? Tune in to our fascinating conversation with Robin Beer, energy data scientist at Flexa, a startup revolutionising the way we consume electricity. Robin shares the process of creating a virtual power plant that enables consumers to utilise solar and battery resources while strategically managing when to buy and sell electricity based on market conditions and weather forecasts. Not only does this system promise reduced costs, but it also enhances grid stability, offering a win-win solution for consumers and the wider energy network. Our discussion ventures into the intricate technology behind Flexa's virtual power plant, highlighting the essential role of Python and other tools in optimizing energy trading. We chat about the exciting startup atmosphere in Munich and the importance of cultivating a T-shaped skill set to thrive in this fast-paced environment. Robin's LinkedIn: https://www.linkedin.com/in/robin-beer-7595b680/ Robin's X: https://x.com/R_E_Beer Flexa: https://www.flexa.energy/ Pybites Circle Community: https://pybites.circle.so/ ___ If you found this podcast helpful, please consider following us! For more Pybites: Developer Mindset Newsletter: https://pybit.es/newsletter 💡 Bob LinkedIn: https://www.linkedin.com/in/bbelderbos/ Julian LinkedIn: https://www.linkedin.com/in/juliansequeira/ Bob BlueSky: https://bsky.app/profile/bbelderbos.bsky.social Julian BlueSky: https://bsky.app/profile/juliansequeira.bsky.social Instagram: https://www.instagram.com/pybites/ Twitter: https://x.com/pybites Apple Podcasts: https://podcasts.apple.com/us/podcast/pybites-podcast/id1545551340 Spotify: https://open.spotify.com/show/1sJnriPKKVgPIX7UU9PIN1
