INTELLIGENT SYSTEM FOR PREDICTING BEHAVIOR OF ELECTRICAL ENERGY CONSUMPTION

This paper will explore the intelligent system that could predict the usage and saving of electricity and it plays a major role in the smart home era, since can provide benefits with regard to comfort, safety and energy savings to electricity consumers. Many authors have already explored residence monitoring and prediction systems, however, very few approached the residence detection for predicting the energy consumption and prediction by using smart meter data. In this work, it can be achieved by using solely electricity consumption data and integrating it into an intelligent system. Also, we address the problem of generalizing a classification model, i.e., we analyze the possibility of using a single classification model to monitor residence in multiple households. We found that a residence detection accuracy and predict the usage was possible by using a generic classification model. Regarding residence prediction, we showed that it is possible to predict residence in multiple households, by using solely electricity consumption data. In addition to a higher energy efficiency, residence monitoring also provides more safety to the consumers. If a high electricity consumption is verified in periods that are not supposed, residence monitoring systems can be used as an intruder's detector, by sending alarms in real time to the smartphones of the occupants. If we analyze residence at the room-level, residence monitoring systems can also be used for health monitoring applications.