B. Articles, S. Livres-et-rapportsabras, S. Pesty, and S. Ploix, Maîtrise de la consommation d'énergie en domotique par un système multi-agents, Conférence LMO : L'objet-Conférence LMO, [en ligne], 2002.

. Alna, B. Najjar, and I. Alsyouf, Improving effectiveness of manufacturing systems using total quality maintenance, Integrated Manufacturing Systems, pp.267-276, 2000.

R. V. Andersen and J. Toftum, Survey of occupant behaviour and control of indoor environment in Danish dwellings, Energy and Buildings, 2009.

A. Antoine, P. Poinsot, R. Congard, and A. , ??valuer le bien-??tre subjectif : la place des ??motions dans les psychoth??rapies positives, Journal de Th??rapie Comportementale et Cognitive, vol.17, issue.4, pp.170-180, 2007.
DOI : 10.1016/S1155-1704(07)78392-1

H. Arkin and M. Paciuk, Evaluating intelligent buildings according to level of service systems integration, Automation in Construction, pp.5-6471, 1997.

A. Astolfi and F. Pellerey, Subjective and objective assessment of acoustical and overall environmental quality in secondary school classrooms, The Journal of the Acoustical Society of America, vol.123, issue.1, pp.163-173, 2008.
DOI : 10.1121/1.2816563

A. Aydinalp, M. Ugursal, I. Ismet, and V. , Modelling of the appliance, lighting, and space-cooling energy consumptions in the residential sector using neural networks, pp.87-110, 2002.

A. Baig, P. Achter, and A. Mufti, A novel approach to estimate the clear day global radiation, Renewable Energy, vol.1, issue.1, pp.119-123, 1991.
DOI : 10.1016/0960-1481(91)90112-3

J. Baudrillard, Le système des objets, la consommation des signes, 1968.

M. Beerepoot and N. Beerepoot, Government regulation as an impetus for innovation: Evidence from energy performance regulation in the Dutch residential building sector, Energy Policy, Octobre Fuzzy logics as the logics of chains, Fuzzy Sets and Systems, pp.4812-4825, 2006.

B. W. Boehm, A spiral model of software development and enhancement, Computer, vol.21, issue.5, pp.61-72, 1986.
DOI : 10.1109/2.59

. Bomm and E. Bommé, Modélisation et Optimisation de Machines Électriques Discoïdes à Double Entrefer, Thèse de doctorat : Electricité : INP Grenoble, 2009.

. Bour, D. Bourgeois, and C. Reinhart, Adding advanced behavioural models in whole building energy simulation: A study on the total energy impact of manual and automated lighting control, Energy and Buildings, pp.814-823, 2006.

G. Branco, B. Lachal, P. Gallinelli, and W. Weber, Predicted versus observed heat consumption of a low energy multifamily complex in Switzerland based on long-term experimental data Energy and Buildings, pp.543-555, 2004.

E. Brangier and J. Barcenilla, Concevoir un produit facile à utiliser - Adapter les technologies à l'homme, Paris : Editions d'Organisation, pp.2-7081, 2003.

P. Burge, Sick building syndrome, Occupational and Environmental Medicine, vol.61, issue.2, pp.185-90, 2004.
DOI : 10.1136/oem.2003.008813

J. Caelen, Analyse d'activité Installateurs, 1998.

. Cand, C. Candido, R. J. De-dear, and R. Lamberts, Air movement acceptability limits and thermal comfort in Brazil's hot humid climate zone, Building and Environment, pp.222-229, 2010.

. Capa, A. Capasso, W. Grattieri, and R. Lamedica, A bottom-up approach to residential load modelling, IEEE Transaction on Power Systems, vol.9, issue.2, pp.957-964, 1994.

S. Carre, Outil de conception architecturale pour l'éclairage naturel/artificiel Application a la synthèse d'image pour la prise en compte des notions de confort, Thèse de doctorat : Informatique, Université Rennes 1, 1998.

M. Chan and D. Estève, Review of smart homes : present state and future challenges, Computer methods and programs in biomedicine, pp.55-81, 2008.

. Chen, H. Chenailler, F. Wurtz, and S. Ploix, Etude pour quantifier la part des apports internes dans bâtiment tertiaire BBC Application au bâtiment de PREDIS, Conférence IBPSA : International Building Performance Building Simulation Association France, Moret-sur-Loing, [en ligne] 9-10 Novembre 2010 : papier 96, Disponible sur < http, 2011.

. Choi, J. Choi, A. Aziz, and V. Loftness, Decision support for improving occupant environmental satisfaction in office buildings: The relationship between sub-set of IEQ satisfaction and overall environmental satisfaction, Conférence ICHB, 9th International Conference Healthy Buildings, p.747, 2009.

. Ciri, V. Ciriza, L. Donini, J. Durand, and S. Girard, User-friendly power management algorithms Disponible sur: < http, 2009.

D. Claridge, B. Abushakra, and J. Haberl, Electric Diversity Profiles for Energy Simulation of Office Buildings, ASHRAE Transactions, 2011.

. Clem and T. D. Clements-croome, What do we mean by intelligent buildings? , Automation in Construction, pp.395-399, 1997.

. Craw, D. Crawley, L. K. Lawrie, and F. C. Winkelmann, Energy-Plus: creating a new-generation building energy simulation program, Energy and Buildings, pp.443-457, 2001.

. Dann, H. W. Danny, . Li, K. Cheung, and S. L. Wong, An analysis of energy-efficient light fittings and lighting controls, Applied Energy, pp.558-567, 2010.

S. Darby, The effectiveness of feedback on energy consumption, Review for defra of the literature on metering, billing and direct displays, 2006.

S. Das, L. J. Cook, and A. Bhattacharya, The role of prediction algorithms in the MavHome smart home architecture, Décembre 2002, pp.77-84, 1995.
DOI : 10.1109/MWC.2002.1160085

V. Delcroix, S. Piechowiak, and J. Rodriguez, Computing diagnosis with higher posterior probability using bayesian networks, Conférence IPMU: International Conference on Information Processing and management of Uncertainty in Knowledge basedsystem, pp.45-51, 2002.

. Desj, D. Desjeux, C. Berthier, and S. Jarrafoux, Anthropologie de l'electricite: Les objets électriques dans la vie quotidienne en France, pp.978-2738441089, 1996.

S. Desterckel and E. Chojnacki, Une méthode de fusion possibiliste basée sur les sous-ensembles maximaux cohérents, Preprint of the paper presented at the LFA 2007 conference Disponible sur : < http, 2007.

R. R. Dholakia, N. Dholakia, and A. Fuat-firat, From social psychology to political economy: A model of energy use behavior, Journal of Economic Psychology, vol.3, issue.3-4, pp.3-4, 1983.
DOI : 10.1016/0167-4870(83)90004-1

B. Dubuisson and . Diagnostic, Intelligence Artificielle et reconnaissance de formes, pp.978-980, 2001.

P. O. Fanger, Thermal comfort analysis and applications in environmental engineering, Thèse de doctorat: Environnement, Danmarks Tekniske Hojskole, 1972.

B. J. Fogg, Persuasive technology, Ubiquity, vol.2002, issue.December, pp.312-1558606432, 2002.
DOI : 10.1145/764008.763957

G. Foggia, Pilotage Optimal de Systeme Multi-sources pour le Batiment, Thèse de doctorat, p.197, 2009.
URL : https://hal.archives-ouvertes.fr/tel-00438416

. Fron, M. Frontczak, and P. Wargocki, Literature survey on how different factors influence human comfort in indoor environments, pp.922-937, 2011.

R. K. Pachauri and A. Et-reisinger, Bilan 2007 des changements climatiques Contribution des Groupes de travail I, II et III au quatrième Rapportd'évaluation du Groupe d'experts intergouvernemental sur l'évolution du climat, Disponible sur : < http, 2007.

. Ha and D. Ha, Un système avancé de gestion d'énergie dans le bâtiment pour coordonner production et consommation, Thèse de doctorat: Automatique-Productique, 2007.

R. Haas, H. Auer, and P. Biermayr, The impact of consumer behavior on residential energy demand for space heating, Energy and Buildings, pp.195-205, 1998.

F. Haldi and D. Robinson, On the behaviour and adaptation of office occupants, Building and Environment, pp.2163-2177, 2008.

A. Hatchuel, B. Weil, and . Et-le-système, ISBN : 2-7178-2250-X [HACH, 2011] Dictionnaire Hachette Bilingue français allemand Personal factors in thermal comfort assessment: clothing properties and metabolic heat production, Energy and Buildings, pp.581-591, 1992.

R. Homod, M. Saharia, K. Almurib, and H. , RLF and TS Fuzzy model identification of indoor thermal comfort based on PMV/PPD, Building and Environment, Septembre 2011, doi: 10.1016. Article en cours d'impression [HOUD, Pour une civilisation de l'habitat, 1969.

. Inti, S. Intille, K. Larson, M. Tapia, and E. , Using a Live-In Laboratory for Ubiquitous Computing Research, Conférence PERVASIVE : Pervasive Computing, pp.349-365, 2006.

R. Isermann, Model-based fault-detection and diagnosis ??? status and applications, Annual Reviews in Control, vol.29, issue.1, pp.71-85, 2005.
DOI : 10.1016/j.arcontrol.2004.12.002
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.113.9295

. Izar, J. L. Izard, and . L-'inertie-dans-le-bâtiment, Principe de superposition, Présentation Ecole d'architecture Marseille-Luminy,[en ligne Disponible sur : < http, 2006.

. Jang, M. S. Jang, C. D. Koh, and I. S. Moon, Review of thermal comfort design based on PMV/PPD in cabins of Korean maritime patrol vessels, Building and Environment, pp.55-61, 2007.

. Jeon, J. Jeong, A. Choi, and S. No, Improvement in demand-controlled ventilation simulation on multi-purposed facilities under an occupant based ventilation standard, Simulation Modelling Practice and Theory, pp.51-62, 2010.

. Kim, S. Kim, and K. J. , The impact of daylight fluctuation on a daylight dimming control system in a small office, Energy and Buildings, Août, pp.935-944, 2007.

. Lai, A. Lai, K. Mui, L. Wong, and L. Law, An evaluation model for indoor environmental quality (IEQ) acceptance in residential buildings, Energy and Buildings, pp.930-936, 2009.

. Le and K. Le, Gestion optimale des consommations d'énergie dans les bâtiments, Thèse de doctorat, 1995.

. Le, X. H. Le, S. Ploix, and S. Abras, Simulating inhabitant behaviour to manage energy at home , Conférence IBPSA : International Building Performance Building Simulation Association France, Moret-sur-Loing, Novembre, pp.9-10, 2010.

E. Lebègue, La maquette numérique au service de la construction et de l'aménagement Durable Cité de l'architecture et du patrimoine, Présentation Club Technique de la Gazette des Communes, 2009.

. Lemo and J. L. Lemoigne, Les épistémologies constructivistes, Collection « Que sais-je ?

. Leno and A. Lenoir, Etat de l'art des bâtiments à énergie positive en France, Conférence IBPSA : International Building Performance Building Simulation Association France, p.99, 2010.

. Leys and E. Leysens, Bâtiment à énergie positive : une notion à éclaircir Disponible sur : < http://www.lemoniteur.fr/195- batiment/article/a-suivre/701713-batiment-a-energie-positive-une-notion-a-eclaircir>, Journal le Moniteur, 2010.

. Lian, J. Liang, and R. Du, Thermal Comfort Control Based on Neural Network for HVAC Application, Conférence IEEE : IEEE Conference on Control Applications, pp.28-31

D. Lindelöf and N. Morel, A field investigation of the intermediate light switching by users, Energy and Buildings, pp.790-801, 2006.

. Linden, A. C. Van-der-linden, A. C. Boerstra, and A. K. Raue, Adaptive temperature limits: A new guideline in The Netherlands, Energy and Buildings, vol.38, issue.1, pp.8-17, 2006.
DOI : 10.1016/j.enbuild.2005.02.008

. Lopes, L. Lopes, S. Hokoi, and H. Miura, Energy efficiency and energy savings in Japanese residential buildings???research methodology and surveyed results, Energy and Buildings, vol.37, issue.7, pp.698-706, 2005.
DOI : 10.1016/j.enbuild.2004.09.019

. Lovi and A. B. Lovins, Twelve transitions, eight improvements and one distraction, Energy Policy, vol.24, issue.4, pp.331-343, 1996.

. Ma, J. Ma, S. Chew, and Y. Xu, Fuzzy logic from the viewpoint of machine intelligence, Fuzzy Sets and Systems, Mars, pp.628-634, 2006.

. Mads, H. Madsen, and J. Hoist, Estimation of continuous-time models for the heat dynamics of a building, Energy and Buildings, Mars, pp.67-79, 1995.

A. Mahdavi, A. Mohammadi, and E. Kabir, Occupants' operation of lighting and shading systems in office buildings, Journal of Building Performance Simulation, vol.1, issue.1, pp.57-65, 2008.
DOI : 10.1016/j.solener.2004.04.003

. Maso, O. T. Masoso, and L. J. Grobler, The dark side of occupants' behaviour on building energy use, Energy and Buildings, pp.173-177, 2010.

. Mcde, J. Mcdermid, and K. Ripken, Life cycle support in the ADA environment, ACM SIGAda Ada Letters, vol.3, issue.1

. Mult, B. Multon, O. Geraud, and G. Robin, Ressources énergétiques et consommation humaine d'énergie

. Nico, J. F. Nicol, and M. A. Humphreys, Adaptive thermal comfort and sustainable thermal standards for buildings, Energy and Buildings, pp.563-572, 2002.

J. Owen and H. Wilhite, Household energy behavior in Nordic countries???an unrealized energy saving potential, Energy, vol.13, issue.12, pp.853-859, 1988.
DOI : 10.1016/0360-5442(88)90050-3

. Page and J. Page, Simulating Occupant Presence and Behaviour in Buildings, Thèse de doctorat: Environnement naturel, physique et construit, EPFL Lausanne, 2007.

. Page, J. Page, D. Robinson, and K. C. Parsons, Stochastic simulation of occupant presence and behaviour in buildings The effects of gender, acclimation state, the opportunity to adjust clothing and physical disability on requirements for thermal comfort, Conférence IBPSA: 10th International Conference of the International Building Performance Simulation Association, pp.365-593, 2002.

. Patt and M. Patterson, What is energy efficiency? Concepts, indicators and methodological issues, Energy Policy, pp.377-390, 1996.

W. L. Paul, P. Taylor, and J. Pearl, A , A comparison of occupant comfort and satisfaction between a green building and a conventional building, Building and Environment Probabilistic reasoning in intelligent systems : network of plausible inference, pp.1858-1870, 1997.

. Ploi, S. Ploix, S. Touaf, and J. Flaus, A logical framework for isolation in fault diagnosis. Conférence SAFEPROCESS: 5th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes Disponible sur: < http, 2003.

. Ploi, S. Ploix, and M. Jacomino, Smart Grid and Renewable Energy: a new role for homes and offices but also new issues for research, Conférence SDEWES: 6 th Dubrovnik Conference on Sustainable Development of Energy, pp.25-29, 2011.

. Poqu, G. Poquet, and A. Dujin, Pour les ménages, la recherche du confort prime encore sur les économies d'énergie, Crédoc N°210, [en ligne], Mars Disponible sur : < http, 2008.

P. Raba, N. Carlin, and M. Chesnais, Ergonomie: concepts et méthodes, pp.178-978, 2002.

. Rasm and J. Rasmussen, Information processing and human-machine interaction: an approach to cognitive engineering, p.230, 1986.

R. Riva, G. Vatalaro, F. Davide, and F. , Ambient Intelligence: from Vision to Reality Disponible sur < http, 2005.

D. W. Robertson, A Note on the Classical Origin of 'Circumstances' in the Medieval Confessional, Studies in Philology, vol.43, issue.1, pp.6-14, 1946.

F. Ruzzenenti and R. Basosi, The role of the power/efficiency misconception in the rebound effect's size debate: Does efficiency actually lead to a power enhancement?, Energy Policy, vol.36, issue.9, pp.3626-3632, 2008.
DOI : 10.1016/j.enpol.2008.06.014

. Saku, P. Sakulpipatsin, L. C. Itard, and H. J. Van-der-kooi, An exergy application for analysis of buildings and HVAC systems, Energy and Buildings, vol.42, issue.1, pp.90-99, 2010.

. Shew and W. A. Shewhart, Economic Control of Quality of Manufactured Product, pp.501-978, 1980.

. Sidl and O. Sidler, Le rôle de l'électricité dans les bâtiments sobres en énergie, Séminaire : Rencontres PREBAT , Chambéry,[en ligne, 31 Mars Disponible sur :< http, 2010.

. Simo and H. A. Simon, Administrative Behavior. A study of Decision-Making Processes in Administrative Organization, pp.364-978, 1976.

A. T. So, K. C. Wong, and . Wong, A new definition of intelligent buildings for Asia, Facilities, pp.485-491, 1999.

. Sorr, S. Sorrell, and J. Dimitropoulos, The rebound effect: Microeconomic definitions, limitations and extensions, Ecological Economics, vol.65, pp.3-636, 2008.

K. Stum, R. Mosier, and T. Haasl, Energy management systems, Rapport Technique Disponible sur: < http, 1997.

. Tani and C. G. Tanides, Estimation of stand-by energy consumption and energy saving potential in Argentine household, Energy for Sustainable Development, pp.76-80, 2008.

. Thie and S. Thiers, Bilans énergétiques et environnementaux de bâtiments à énergie positive, p.255, 2008.

. Thie, S. Thiers, and B. Peuportier, Thermal and environmental assessment of a passive building equipped with an earth-to-air heat exchanger in France , Solar Energy, pp.820-831, 2008.

K. Vringer, T. Aalbers, and K. Blok, Household energy requirement and value patterns, Energy Policy, vol.35, issue.1, pp.553-566, 2007.
DOI : 10.1016/j.enpol.2005.12.025
URL : http://dspace.library.uu.nl:8080/handle/1874/21667

A. Wagner, E. Gossauer, E. , C. Moosmann, and C. , Thermal comfort and workplace occupant satisfaction?Results of field studies in German low energy office buildings, Energy and Buildings A combined Markov-chain and bottom-up approach to modelling of domestic lighting demand, Energy and Buildings, pp.758-769, 2007.

A. Willsky, A survey of design methods for failure detection in dynamic systems, Automatica, vol.12, issue.6, pp.601-611, 1975.
DOI : 10.1016/0005-1098(76)90041-8

. Wong, J. K. Wong, H. Li, and S. W. Wang, Intelligent building research: a review, Automation in Construction, pp.143-159, 2005.

Y. Yamamoto, A. Suzuki, and Y. Fuwa, Decision-making in electrical appliance use in the home, Energy Policy, vol.36, issue.5, pp.1679-1686, 2008.
DOI : 10.1016/j.enpol.2008.01.022

A. Yassine, S. Ploix, G. Ye, C. Yang, and Y. Chen, Méthodes d'analyse diagnostique pour les systèmes habitation, Compte rendu d'avancemen A new approach for measuring predicted mean vote (PMV) and standard effective temperature (SET*), Building and Environment, Projet PLUMES, vol.38, issue.1, pp.33-44, 2003.

C. T. Yucer and A. Hepbasli, Thermodynamic analysis of a building using exergy analysis method, Energy and Buildings, Février-Mars, p.p, 2011.

L. Zadeh, A fuzzy Set theoretic approach, ZADE Journal of Semantics, vol.2, 1983.

. Leo, D. Leo, D. Wirksam, and . Allemand, Disponible sur :< http, 2011.

@. La-quantité-de-linge, La quantité de linge aura une conséquence du point de vue énergétique car le moteur voyant sa charge augmentée, consommera plus, tout comme la quantité d'eau à chauffer. Mesurabilité : On pourra obtenir cette quantité par la mesure du poids du tambour une fois plein. Le moment de démarrage et de fin de cycle qui peut constituer, dans le cadre de l'étude de gestion d'énergie du bâtiment, des données d'usage à prendre en compte. En effet, ce type de charge électrique

. Aussi, utilisation du lave-linge basée sur la quantité de linge effectivement introduite dans le tambour de la machine à laver (figure 88) On supposera alors qu'à consommation égale de la machine, plus de linge sera lavé, meilleure sera la satisfaction car on a utilisé à son maximum la machine, avec une satisfaction maximale pour la quantité de linge prévue (P Opt) Néanmoins si l'on surcharge la machine à laver, cela peut fatiguer à terme la machine et même casser celle-ci