| Abstract |
Professional and collegiate sport venues consume huge electrical energy. Therefore, a smart managementof their electric energy is essential for significant energy saving. Accordingly, this paper proposes a novelembedded real-time, smart, and active energy management system to monitor and efficiently managesuch huge and typically uncontrolled energy for minimizing energy consumption and cost per day whileconsidering spectators preferences, comfort level in behavioral modification program, and health aspects.This will provide an opportunity for spectators to reduce energy consumption and improve energyefficiency while considering healthcare concept. In addition, the proposed energy management system isequipped with embedded tools to collect and monitor energy information for each stadium's area. Thedata are processed and fed to the artificial neural network algorithm that is used for managing andcontrolling stadium loads. This strategy does not require any change in the conventional stadiumelectrical panel. The proposed online algorithm yields to improve the overall grid efficiency, reliability,and increase awareness of the importance of energy conservation. Real-Time implementation of theconcept is demonstrated and analyzed. |
