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Design of interactive systems to involve occupants of connected buildings

Research Front 1

Participants: G-SCOP (Leader Stéphane Ploix), LIG, INRIA, CRESSON, GAEL, PACTE, G2Elab, LNCMI, LOCIE, CEA

This research front focuses on bringing solutions that address new emerging challenges in energy management at the occupant level, taking into consideration future issues such as demand response, auto-consumption, and auto-production.

Many technical solutions have been proposed, but very little attention has been paid to occupants, to their practice and idiosyncrasies, tacit knowledge, needs, preferences and personal motivations. In general, it is considered that energy management can be based on measurement and computation with very few contributions from occupants.

In this project, it is hypothesized that sustainable practices will emerge from the virtuous circle of appropriate interactions between the human stakeholders, and the interactive energy management system augmented with computational capabilities. A new paradigm will be investigated: a user-centric energy management, where users’ expectations and tacit knowledge will drive the search for solutions computed dynamically thanks to a flexible energy model of the living areas. One key research question is what kind of process can trigger virtuous behaviors and practices.

Addressed topics are:

  • Characterization of the needs for end-users of energy in the different contexts
  • Design of new interactive services (analysis and explanation engines, etc.) to support occupants in everyday decisions
  • Design of prototypes of persuasive graphic user interfaces for interactive services
  • Experimentation of the interactive energy service prototypes


M. Pal, R. Sengupta, S. Bandyopadhyay, A. Alyafi, S. Ploix, P. Reignier, and S. Saha, "Analysis of optimizers to regulate occupant’s actions for building energy management", ICAPR 2017. IEEE, 2017.

L. Scanu, S. Ploix, P. Bernaud, and E. Wurtz, "Arx models inspired by physics as a service for building’s users. In Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)", 9th IEEE International Conference.

M. Amayri, Q.-D. Ngo, S. Ploix, et al., "Bayesian network and hidden markov model for estimating occupancy from measurements and knowledge. In Intelligent Data Acquisition and Advanced Com- puting Systems: Technology and Applications (IDAACS)", 9th IEEE International Conference.

Quan Nguyen-Hong, Audrey Le Mounier, Van-Binh Dinh, Benoit Delinchant, Stephane Ploix, Frederic Wurtz, "Meta-Optimization and Scattering Parameters Analysis for Improving On Site Building Model Identification for Optimal Operation", IBPSA 2017 (International Building Performance Simulation), San Fancisco, August 7-9, 2017.

« Espaces habités : ambiances et amélioration de la qualité de vie ». In : Verre et urbanisme. Sécurité, qualité de vie et vitrages certifiés, Salon des innovations pour le bâtiment et l’architecture BATIMAT, Paris, 9 novembre 2017.

Lisa Scanu, Stéphane Ploix, Pierre Bernaud, Etienne Wurtz. Model Tuning Approach For Energy Management Of Office and Apartment Settings. Building Simulation 2017, Aug 2017, San Francisco, United States. Building Simulation 2017, 2017.

I. Stamatescu, S. Ploix, I. F?g?r??an, and G. Stamatescu, "Data center server energy consumption optimization algorithm", 26th Mediterranean Conference on Control and Automation (MED).

M. Amayri and S. Ploix, "Decision tree and parametrized classifier for estimating occupancy in energy management", 5th International Conference on Control, Decision and Information Technologies (CoDIT).

H. Najeh, M. P. Singh, K. Chabir, S. Ploix, and M. N. Abdelkrim, "Diagnosis of sensor grids in a building system using bridge approach", Sciences and Techniques of Automatic Control and Computer Engineering (STA), 21-23 Déc. 2017.

Le, M.-H., & Ploix, S. (2017). Robust anticipative energy management system: Application of a smart building platform. Building Services Engineering Research and Technology, 38(2), 226–248.

Ploix S. (2017) Multi Scale Optimization of Building Energy. In: Raghavan K., Ghosh P. (eds) Energy Engineering. Springer, Singapore.

H. Najeh, M. P. Singh, K. Chabir, S. Ploix, and M. N. Abdelkrim, "Diagnosis of sensor grids in a building context: Application to an office setting", Journal of Building Engineering, 2018.

Pal M., Alyafi A.A., Bandyopadhyay S., Ploix S., Reignier P. (2018) Enhancing Comfort of Occupants in Energy Buildings. In: Kar S., Maulik U., Li X. (eds) Operations Research and Optimization. FOTA 2016. Springer Proceedings in Mathematics & Statistics, vol 225. Springer, Singapore.

Gilles Debizet, Hélène Haller. Préconisation d'indicateurs pour le e-consultant de la Tour Elithis Danube. [Rapport de recherche] D1.1, Université Grenoble Alpes / Elithis / PACTE. 2018.

Le, M.-H., & Ploix, S. (2018). Sensibility and Uncertainties Analysis method dedicated to home energy management problem. Building Services Engineering Research and Technology, 39(1), 50–65.

Amr Alzhouri Alyafi, Van Bao Nguyen, Yann Laurillau, Patrick Reignier, Stéphane Ploix, Gaëlle Calvary, Joëlle Coutaz, Monalisa Pal, Jean-Philippe Guilbaud. (2018) From Usable to Incentive-Building Energy Management Systems. ISTE OpenScience DOI : 10.21494/ISTE.OP.2018.0302.

A. Alyafi, M. Pal, S. Ploix, P. Reignier, and S. Bandhyopadyay, "Differential explanations for energy in buildings", In IEEE Computing Conference.

M. Amayri, H. Kazimi, Q.-D. Ngo, and S. Ploix, "Estimating occupancy in residential context using bayesian networks for energy management", ICMLPC 2018 : 20th International Conference on Machine Learning for Prediction and Control.

A. A. Alyafi, J.-P. Guillbaud, P. Reignier, and S. Ploix, "Explanations engine for energy management systems in buildings. In Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)", 9th IEEE International Conference on.

Joëlle Coutaz, Antonin Carlesso, Nicolas Bonnefond, Raffaella Balzarini, Yann Laurillau, Nadine Mandran, James Crowley. “Will the Last One Out, Please Turn Off the Lights”: Promoting Energy Awareness in Public Areas of Office Buildings. 14th European Conference on Ambient Intelligence (AmI 2018).

Yann Laurillau, Van Bao Nguyen, Joëlle Coutaz, Gaëlle Calvary, Nadine Mandran, Fatoumata Camara, Raffaella Balzarini. The TOP-Slider for Multi-criteria Decision Making by Non-Specialists. 10th Nordic Conference on Human-Computer Interaction (NordiCHI '18).

Yann Laurillau, Gaëlle Calvary, Van Bao Nguyen. UP!, Engineering Persuasive Interactive Systems. 10th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS'18).

Sylvie Laroche. Sonic Transect. Ecole thématique internationale : « Du confort aux ambiances dans les espaces habités. Du sonore au multi sensoriel. Du diagnostic a? l’esquisse. » Cresson, ENSAG, International Ambiances Network.

Amr Alzouhri Alyafi, Monalisa Pal, Stéphane Ploix, Patrick Reignier, Sanghamitra Bandyopadhyay. Unmasking the causal relationships latent in the interplay between occupant’s actions and indoor ambience: a building energy management outlook, Applied Energy, Elsevier, 2019.

Van Bao Nguyen, Conception de systèmes interactifs persuasifs : application au domaine de l'énergie, thèse, 2019

M. Amayri, S. Ploix, F. Najar, N. Bouguila, and F. Wurtz. A statistical process control chart approach for occupancy estimation in smart buildings. In 2019 IEEE Symposium Series on Computational Intelligence (SSCI), pages 1729–1734, Dec 2019.

M. P. Singh, K. T. Nguyen, H. Najeh, P. Stephane, and A. Caucheteux. Advancing building fault diagnosis using the concept of contextual and heterogeneous test. Energies, 12(13), 2019.

M. Pal, A. A. Alyafi, S. Ploix, P. Reignier, and S. Bandyopadhyay. Unmasking the causal relationships latent in the interplay between occupant’s actions and indoor ambience: A building energy management outlook. Applied Energy, 238:1452–1470, 15 March 2019.

M. Amayri, P. Stephane, H. Kazimi, Q.-D. Ngo, and A. Safadi. Estimating occupancy from measurements and knowledge with bayesian networks for energy management. Journal of Sensors, 2019(7129872):12, April 10th 2019.

M. Amayri, S. Ploix, N. Bouguila, and F. Wurtz. Estimating occupancy using interactive learning with a sensor environment: Real-time experiments. IEEE Access, 7:53932–53944, 2019.

H. Najeh, S. Ploix, M. P. Singh, K. Chabir, and M. N. Abdelkrim. Automatic thresholding for data gap detection for a set of sensors in instrumented buildings. International Journal of Architectural and Environmental Engineering, 13(1):1–5.

H. Najeh, M. P. Singh, S. Ploix, K. Chabir, and M. N. Abdelkrim. Automatic thresholding for sensor data gap detection using statistical approach. In Sustainability in Energy and Buildings, pages 455–467. Springer, 2020.

Submitted on February 21, 2024

Updated on February 21, 2024