Case Study: Green Tech achieves 89% forecast accuracy with Beetroot’s predictive analytics solution

Green Tech improves grid balancing by 12% with Beetroot

Green Tech, a European renewable energy company, sought to advance its smart grid platform by adding AI-powered forecasting to optimize renewable energy distribution. They faced challenges in achieving reliable predictions across diverse data sources and integrating a solution into their existing AWS infrastructure without disruption. The company engaged Beetroot to design and deliver a predictive analytics module.

Beetroot assembled an ML team that built a time series forecasting system using Python, PyTorch, and Airflow. The solution was deployed as a secure microservice, achieving 85-89% forecast accuracy. This resulted in a 12% reduction in manual grid balancing and an 8% decrease in reserve energy costs for Green Tech, demonstrating the significant impact of Beetroot's implementation.

Green Tech