Overview
The O-CEI platform will integrate energy flows from berthed vessels, using decentralised monitoring, IoT, and cybersecurity utilities to minimise blackouts and optimise energy control through orchestration and real-time dashboards.
Expected Outcomes
- Develop accurate AI/ML‑based energy forecasting models so the terminal can anticipate demand, optimise resources, reduce power peaks and emissions, and reliably track performance over the project’s intermediate and final phases.
- KPI: Accuracy of energy consumption predictions at MFT and its surroundings by AI/ML models: coefficient of determination (R2) > 0.8, Median Absolute Percentage Error (MdAPE) < 20%.
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