Context-aware framework for energy management system

Abstract

In this work we present a context-aware framework for energy management system (CAEMS). The CAEMS is a context awareness framework that aims to provide a comprehensive solution to reason about the context from the level of sensor data to the high-level situation awareness (actuator or devices). The paper describes these challenges and presents data management solutions as a module of context data analysis for the energy (Microgrid) control system. These solutions include sensor data acquisition and time series forecasting, ontology model and context prediction model for analytical query processing past and future context data.