Overview
This scenario, developed within the O-CEI project, evaluates mobile energy storage systems, such as delivery vans, to support grid peak shaving and reactive power management.
Expected Outcomes
- Improve accuracy of the energy consumption prediction for the Post Depot (Mean Absolute Error < 20%).
- Successfully demonstrating an agentic AI Cloud-Edge-IoT solution using cross-domain data sharing and updating every 15 minutes to constantly improve the business value chain for Post and Energie Steiermark.
- To enable the POST to choose a charging strategy to reduce the energy consumption.
- KPI: 15-20% Reduction (for fleet operator) of peak load.
- KPI: 10-15% Reduction (for fleet operator) of charging costs.
- To enable the POST to select charging strategies that reduce fleet energy consumption and total operating cost.
- KPI: 5% reduction of carbon dioxide (CO2) emissions.
- KPI: 5% reduction of carbon dioxide (CO2) emissions.
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