Explanations Engine For Energy Management Systems in Buildings

Amr Alzouhri Alyafi 1, 2, 3 Jean-Phillipe Guillbaud 1 Patrick Reignier 1, 2 Stephane Ploix 3
2 PERVASIVE INTERACTION
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
3 G-SCOP_GCSP - GCSP
G-SCOP - Laboratoire des sciences pour la conception, l'optimisation et la production
Abstract : Humans live and spent their times in buildings. Determining the best configuration for their office or apartment (HVAC configuration, doors and windows positions, usage of appliances,...) is becoming subtle because low consumption buildings are becoming more and more sensitive to human behavior. Moreover, variable energy costs and energy availability issues increase the complexity of the energy management problem. In such complex situations, many scientific research and engineering works are ongoing with the aim of supporting occupants in their everyday life, but still, in most cases, there is a need for experts to design models for living zones to manage, which is time-consuming and very costly. This paper will continue in the stream to help occupants to understand their energy systems and the impact of their actions on the system, by providing causal explanations and presenting a path diagram for all actions and environmental changes and their consequences.
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https://hal.archives-ouvertes.fr/hal-01576248
Contributor : Amr Alzouhri Alyafi <>
Submitted on : Wednesday, August 23, 2017 - 11:21:53 AM
Last modification on : Thursday, October 24, 2019 - 10:35:59 AM

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  • HAL Id : hal-01576248, version 1

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Amr Alzouhri Alyafi, Jean-Phillipe Guillbaud, Patrick Reignier, Stephane Ploix. Explanations Engine For Energy Management Systems in Buildings. The 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, Sep 2017, Bucharest, Romania. ⟨hal-01576248⟩

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