Situation-aware energy control by combining simple sensors and Complex Event Processing
Leonard Renners, Ralf Bruns, Jürgen Dunkel · SerWisS (Hochschule Hannover) · 2017
In recent years, multiple efforts for reducing energy usage have been proposed. Especially buildings offer high potentials for energy savings. In this paper, we present a novel approach for intelligent energy control that combines a simple infrastructure using low cost sensors with the reasoning capabilities of Complex Event Processing. The key issues of the approach are a sophisticated semantic domain model and a multi-staged event processing architecture leading to an intelligent, situation-aware energy management system.