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Pervasive Computing for Efficient Energy
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Author(s): Mária Bieliková (Slovak University of Technology in Bratislava, Slovakia), Marián Hönsch (Slovak University of Technology in Bratislava, Slovakia), Michal Kompan (Slovak University of Technology in Bratislava, Slovakia), Jakub Šimko (Slovak University of Technology in Bratislava, Slovakia)and Dušan Zeleník (Slovak University of Technology in Bratislava, Slovakia)
Copyright: 2011
Pages: 18
Source title:
Handbook of Research on Ambient Intelligence and Smart Environments: Trends and Perspectives
Source Author(s)/Editor(s): Nak-Young Chong (Japan Advanced Institute of Science and Technology, Japan)and Fulvio Mastrogiovanni (University of Genova, Italy)
DOI: 10.4018/978-1-61692-857-5.ch027
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Abstract
Increasing energy consumption requires our attention. Resources are exhaustible, so building new power plants is not the only solution. Since residential expenditure is of major parts of overall consumption, concept of intelligent household has potential to participate on energy usage optimization. In this chapter, we concentrate on software methods, which based on inputs gained from an environment monitor, analyze and consequently reduce non-effective energy consumption. We gave a shape to this concept by description of real prototype system called ECM (Energy Consumption Manager). Besides active energy reduction, the ECM system also has an educative function. User-system interaction is designed to teach the user how to use (electric, in case of our prototype) energy effectively. Methods for the analysis are based on artificial intelligence and information systems fields (neural networks, clustering algorithms, rule-based systems, personalization and adaptation of user interface). The system goes further and gains more effectiveness by exchange of data, related to consumption and appliance behaviour, between households.
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