Intelligent system for efficient management of electrical energy

This paper presents an intelligent system based on Back Propagation (BP) Neural Network implementation that aids to decrease power consumption in three different environments: Residential, Commercial and Industrial. A graphical interface was designed to provide the user with detailed information on consumption of the devices installed in each of the above environments, and allows the modification of parameters such as number of devices, power consumption associated to the levels specified for each device, environmental conditions, among others. Implementing the system developed in different environments, power consumption was lower than the one generated by implementing models without intelligent management. Additionally, we could estimate the savings in wear life of the devices, compared to the implementation of the system without intelligent management.