PROMECE - Big/Smart Data - Report of anomalies detection technologies applied to energy efficiency

Instituto Tecnológico de Informática has a non-economic Activities Plan (PROMECE) whose general objective is to strengthen the research lines in which the Institute works, within the scope of Information and Communication Technologies (ICT).

Within the Big/Smart Data R&D Line, we work on techniques to analyse large amounts of data, in order to obtain predictive models to detect anomalies in several scenarios. Another important topic is the visualization techniques to ease the analytics results transmission to the final users.

This document proposes some analytics techniques to detect anomalies on energy data. First, we briefly introduce the applied techniques and the system architecture. Then, we explain how we adapt those techniques to the proposed use cases (general status description, prediction, anomalies detection). Finally, we design a general visualization tool for decision-making.