Abstract

The continuous rise of energy consumption, energy prices and the harshness of natural resources have generated a change in people and companies' behavior towards energy efficient awareness. Currently, building automation controls commercial and residential buildings to try to satisfy energy saving goals. However, the use of this kind of systems does not assure an optimal energy behavior. An intelligent energy management approach based on Artificial Intelligence techniques arise as a most advantageous solution to improve the benefits provided for new control systems. This paper describes an approach, developed under the EU project called KnoHolEM

KnoHolEM: Knowledge-based Energy Management for public buildings through holistic information modeling and 3D visualization – EU project, FP7-2011-NMP-ENV-ENERGY-ICT-EeB, 09/11 – 08/14

, to elaborate a Knowledge based Intelligent Building Energy Management system. The main goal is to include an intelligent energy management strategy with focus on the behavior of building users. The proposed approach uses the building occupant's activities, the inter-dependency and interaction between building facilities and users, and the building infrastructure as a basis to improve the building energy usage. All of the collected information is managed by a knowledge base. This knowledge base is supported by data mining algorithms, focused on enhancing ontology rules by pattern and anomaly detection, and a distributed intelligent architecture. Finally, the distributed intelligence is aimed at controlling building zones and will be realised with a service oriented architecture.