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Real-Time Learning of Power Consumption in Dynamic and Noisy Ambient Environments

Crasnier, Fabrice and Georgé, Jean-Pierre and Gleizes, Marie-Pierre Real-Time Learning of Power Consumption in Dynamic and Noisy Ambient Environments. (2019) In: International Conference on Computational Collective Intelligence Technologies and Applications (ICCCI 2019), 4 September 2019 - 6 September 2019 (Hendaye, France).

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Official URL: https://doi.org/10.1007/978-3-030-28374-2_38

Abstract

The usual approach to ambient intelligence is an expert modeling of the devices present in the environment, describing what each does and what effect it will have. When seen as a dynamic and noisy complex systems, with the efficiency of devices changing and new devices appearing, this seems unrealistic. We propose a generic multi-agent (MAS) learning approach that can be deployed in any ambient environment and collectively self-models it. We illustrate the concept on the estimation of power consumption. The agents representing the devices adjust their estimations iteratively and in real time so as to result in a continuous collective problem solving. This approach will be extended to estimate the impact of each device on each comfort (noise, light, smell, heat...), making it possible for them to adjust their behaviour to satisfy the users in an integrative and systemic vision of an intelligent house we call QuaLAS: eco-friendly Quality of Life in Ambient Sociotechnical systems.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to Springer editor. This papers appears in volume 11684 of Lecture Notes in Computer Science ISSN : 0302-9743 ISBN : 978-3-030-28373-5 The original PDF is available at: https://link.springer.com/chapter/10.1007/978-3-030-28374-2_38
HAL Id:hal-02397445
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
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Deposited On:28 Nov 2019 15:58

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