Swissgrid, the operator of Switzerland’s electricity transmission grid, ensures secure and efficient power grid operations both within Switzerland and across central Europe. As the energy landscape evolves, our core business increasingly focuses on large-scale data analysis and the development of software solutions to address emerging challenges in grid operation.
To support this transition, Swissgrid has built a central cloud platform, creating a unified data ecosystem for deploying software solutions. We will present how the Swissgrid platform enables teams to efficiently integrate data, develop use cases and deploy applications to production.
We will also showcase how we leverage MLFlow in our development and CI/CD workflows to improve model management, accelerate the production-readiness of new models, and enhance forecasting accuracy.
We will present the use case of optimizing the balancing energy, which had a transformative impact on our grid operations. This case will illustrate how machine learning models have improved operational efficiency and economic outcomes, highlighting the critical role of data-driven innovation in our business.
Finally, we will share our pitfalls and lessons learned.