Home energy management system based on daily demand prediction and ZigBee network

Energy Management systems have become an essential part of the new Smart Grid concept. In this context, wireless sensor network are established as one of the more flexible solutions for monitoring and control in home environments. Along with these systems, energy models for demand prediction have also achieved a remarkable place where daily load profiles could be used to determine the switching instants for each appliance. This paper describes the development of an application that integrates both the management of energy by means of a wireless personal network based on ZigBee standard and the demand prediction using stochastic models hosted on a Web Server which could be remotely executed, giving the application higher flexibility, usability and interoperability.