Artificial Neural Network Approach for the Integration of Renewable Energy in Telecommunication Systems

The integration of the renewable energy into the electric power grid is important to sustain the economic development, particularly for many African nations. Therefore, these countries could also equip their airport's electrical system with advanced artificial intelligence technology in manner to harvest the renewable energy. The paper seeks to propose a real time power management algorithm for a distributive hybrid renewable energy grid. It proceeds on the network modelling with the integration of the photovoltaic and wind energy. A multi objective formulation is proposed for the maximization of the area spectral efficiency and the energy efficiency as function of the number of wind aero-generators and photovoltaic solar panels. Radio parameters for a Mobile Wireless inter-operability Medium Access (WiMAX) technology are considered for the simulation in Matlab software. The obtained results are much mitigated but theoretically encouraging for the integration of the green energy integration into the modern telecommunication systems.