We propose an energy management system (EMS) that, at short time scale, controls energy flows and ventilation airflow. By using proper optimization algorithms, we manage to match supply with demand, while minimizing energy daily costs. This not only helps mitigate rising energy costs but also addresses pressing environmental concerns associated with carbon emissions and fossil fuel. The goal of the project is to develop and demonstrate instrumentation on a data collection car to measure potential regenerative braking performance, peak shaving, and energy savings in the New York City Transit subway environment. Data was collected periodically over 15 months from a train in. Abstract—In the Paris subway system, stations represent about one third of the overall energy consumption.
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