Back to all cases Powering the Clean Energy Transition with AI at Greener
Greener Power Solutions, a successful player in the clean energy transition, engaged BigData Republic in early 2022 for their machine learning expertise. Together, they are working to reduce the energy market's carbon footprint by applying lean forecasting models to time series data from mobile batteries.
The challenge
Greener’s customers (such as festivals, construction sites, and sports venues) have widely varying energy needs and project durations (ranging from a few days to several months). Instead of a single continuous time series, the data consists of discrete "episodes." Predicting energy demand based on this data characterized by varying cycle lengths and noise—posed the greatest technical challenge.
The solution
Combining machine learning algorithms and time-series analysis of historical project data to build an energy forecasting module (now-casting model). This model provides real-time predictions of energy demand and battery output for the coming hours, enabling precise alignment of power delivery.
The result
- Tailored power supply
- Higher supply reliability
- Functional nowcasting model
- Strengthened data strategy