Professional and collegiate sport venues consume huge electrical energy. Therefore, a smart management of their electric energy is essential for significant energy saving. Accordingly, this paper proposes a novel embedded real-time, smart, and active energy management system to monitor and efficiently manage such huge and typically uncontrolled energy for minimizing energy consumption and cost per day while considering spectators preferences, comfort level in behavioral modification program, and health aspects. This will provide an opportunity for spectators to reduce energy consumption and improve energy efficiency while considering healthcare concept. In addition, the proposed energy management system is equipped with embedded tools to collect and monitor energy information for each stadium's area. The data are processed and fed to the artificial neural network algorithm that is used for managing and controlling stadium loads. This strategy does not require any change in the conventional stadium electrical 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 the concept is demonstrated and analyzed.