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

05/28/2023 Pentecost is not a spectator sport