Pybites Podcast

#190: The power shift - Flexa’s data-driven energy revolution

5 snips
May 13, 2025
In this insightful discussion, Robin Beer, an energy data scientist at Flexa, reveals how the startup is transforming energy consumption through the creation of virtual power plants. He explains how consumers can optimize energy use with solar and battery resources while benefiting from market trends. The conversation dives into the technical aspects of using Python and machine learning for energy trading and emphasizes the importance of a diverse skill set for developers in fast-paced startup environments. Robin also shares his experiences fostering innovation in Munich's vibrant startup scene.
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INSIGHT

Virtual Power Plant Explained

  • Flexa creates a virtual power plant connecting consumers with solar and battery resources to optimize electricity usage.
  • This system buys electricity when cheap and sells when expensive, reducing bills and stabilizing the grid.
INSIGHT

Using Weather to Optimize Energy Trading

  • Flexa leverages weather forecasts to optimize buying and selling electricity, unlike stocks.
  • They shift energy in time with batteries to maximize profits and grid efficiency.
INSIGHT

Cheapest Energy Source Today

  • Photovoltaic (solar) and battery systems are now the cheapest electricity sources compared to fossil fuels and nuclear.
  • Optimizing their operation not only saves cost but also stabilizes the energy grid.
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