. Collectivites-locales and . Gouv, http ://www.collectivites-locales.gouv.fr/fourniture-fichiersinformatises-fonciers consulté le 01, 2017.

E. Https, fr/electricite/raccordement/repartition-de-la-consommation-delectricite-au-sein-d-un-foyer consulté le 20, 2017.

. Enedis, https ://data.enedis.fr consulté le 01, 2017.

O. Solar and . Geometry, http ://www.oie.mines-paristech.fr/Valorisation, 2017.

A. , E. , U. Européenne, and E. , Mesure de la consommation des usages domestiques de l'audiovisuel et de l'informatique, Projet REMODECE, 2008.

E. Ademe, Diagnostic électrique d'un supermarché de moyenne surfaces. rapport final, 2001.

E. Ademe, Technologies de l'information et éclairage. campagne de mesures dans 49 ensembles de bureaux de la région paca, 2005.

E. Ademe, Ineed. evaluation des performances énergétiques. rapport final, 2010.

E. Ademe, Campagne de mesures des appareils de production de froid, des appareils de lavage et de la climatisation, 2016.

A. and C. Olivier-sidler, Campagne de mesures sur les usages électriques dans le secteur résidentiel en guyane, 1998.

F. M. Andersen, H. V. Larsen, and T. K. Boomsma, Long-term forecasting of hourly electricity load : Identification of consumption profiles and segmentation of customers. Energy Conversion and Management, pp.244-252, 2013.

F. M. Andersen, H. V. Larsen, and R. B. Gaardestrup, Long term forecasting of hourly electricity consumption in local areas in Denmark, Applied Energy, vol.110, pp.147-162, 2013.
DOI : 10.1016/j.apenergy.2013.04.046

F. M. Andersen, H. V. Larsen, N. Juul, and R. B. Gaardestrup, Differentiated long term projections of the hourly electricity consumption in local areas. The case of Denmark West, Applied Energy, vol.135, pp.523-538, 2014.
DOI : 10.1016/j.apenergy.2014.08.075

M. M. Armstrong, M. C. Swinton, H. Ribberink, I. Beausoleil-morrison, and J. Millette, Synthetically derived profiles for representing occupant-driven electric loads in Canadian housing, Journal of Building Performance Simulation, vol.2, issue.1, pp.15-30, 2009.
DOI : 10.1016/j.enbuild.2004.09.007

T. Barbier, R. Girard, F. P. Neirac, N. Kong, and G. Kariniotakis, A novel approach for electric load curve holistic modelling and simulation, MedPower 2014, pp.1-8, 2014.
DOI : 10.1049/cp.2014.1704

URL : https://hal.archives-ouvertes.fr/hal-01087253

T. Barbier, R. Girard, N. Kong, F. Neirac, G. Kariniotakis et al., An optimisation algorithm for matching large scale databases on customers for improved characterisation of electricity consumption, Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MedPower 2016), 2016.
DOI : 10.1049/cp.2016.1005

URL : https://hal.archives-ouvertes.fr/hal-01407901

T. Barbier, R. Girard, and F. Neirac, Development of an electric load curve simulator using a holistic modeling approach, 2014.

R. Bartels, D. G. Fiebig, M. Garben, and R. Lumsdaine, An end-use electricity load simulation model, Utilities Policy, vol.2, issue.1, pp.71-82, 1992.
DOI : 10.1016/0957-1787(92)90055-N

C. Baudot, G. Roupioz, and A. Billet, Modernizing distribution network management with linky smart meters -lessons learned in greenlys project, 23rd International Conference on Electricity Distribution, 2015.

T. Berthou, Développement de modèles de bâtiments pour la prévision de charge de climatisation et l'élaboration de stratégies d'optimisation énergétique et d'effacement, Thèse de doctorat dirigée par Marchio, 2013.

T. Berthou, B. Duplessis, P. Rivière, P. Stabat, D. Casetta et al., SMART-E : a tool for energy demand simulation and optimization at the city scale, 14th International Conference of the IBPSA, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01462212

T. Berthou, P. Stabat, R. Salvazet, and D. Marchio, Development and validation of a gray box model to predict thermal behavior of occupied office buildings, Energy and Buildings, vol.74, issue.0, pp.7491-100, 2014.
DOI : 10.1016/j.enbuild.2014.01.038

URL : https://hal.archives-ouvertes.fr/hal-01299414

P. Bertoldi and B. Atanasiu, An In-Depth Analysis of the Electricity End-Use Consumption and Energy Efficiency Trends in the Tertiary Sector of the European Union, International Journal of Green Energy, vol.8, issue.3, pp.306-331, 2011.
DOI : 10.1080/15435075.2010.515449

R. J. Bessa, C. Möhrlen, V. Fundel, M. Siefert, J. Browell et al., Towards Improved Understanding of the Applicability of Uncertainty Forecasts in the Electric Power Industry, Energies, vol.101, issue.9, p.1402, 2017.
DOI : 10.1016/j.epsr.2015.06.012

URL : https://hal.archives-ouvertes.fr/hal-01589969

P. Blanc, B. Gschwind, M. Lefvre, and L. Wald, The HelioClim Project: Surface Solar Irradiance Data for Climate Applications, Remote Sensing, vol.3, issue.2, p.343361, 2011.
DOI : 10.1016/j.solener.2005.01.012

URL : https://hal.archives-ouvertes.fr/hal-00566995

A. Bossavy, R. Girard, and G. Kariniotakis, Sensitivity analysis in the technical potential assessment of onshore wind and ground solar photovoltaic power resources at regional scale, Applied Energy, vol.182, pp.145-153, 2016.
DOI : 10.1016/j.apenergy.2016.08.075

URL : https://hal.archives-ouvertes.fr/hal-01356857

A. Capasso, W. Grattieri, R. Lamedica, and A. Prudenzi, A bottom-up apparoach to residential load modeling, IEEE Transactions on Power Systems, 1994.

C. Philippe, Réseaux de distribution structure et planification. Techniques de l'ingénieur Réseaux électriques de distribution publique, base documentaire : TIB264DUO.(ref. article : d4210), 1991.

C. , E. , A. , and O. Sidler, Maîtrise de la demande d'electricité. etude expérimentale des appareils de cuisson, de froid ménager et de séchage dans 100 logements, Projet ECUEL, 1999.

J. Champion, C. Collin, C. L. Cauhapé, V. Quénechdu, and H. Valdelièvre, Des ménages toujours plus nombreux, toujours plus petits, INSEE Première, 2017.

D. P. Chassin, K. Schneider, and C. Gerkensmeyer, GridLAB-D: An open-source power systems modeling and simulation environment, 2008 IEEE/PES Transmission and Distribution Conference and Exposition, pp.1-5, 2008.
DOI : 10.1109/TDC.2008.4517260

P. David, . Chassin, C. Jason, N. Fuller, and . Djilali, Gridlab-d : An agent-based simulation framework for smart grids, Journal of Applied Mathematics, 2014.

C. Chen, M. Kang, J. Hwang, and C. W. Huang, Synthesis of power system load profiles by class load study, International Journal of Electrical Power & Energy Systems, vol.22, issue.5, pp.325-330, 2000.
DOI : 10.1016/S0142-0615(99)00046-0

G. Chicco, R. Napoli, and F. Piglione, Comparisons Among Clustering Techniques for Electricity Customer Classification, IEEE Transactions on Power Systems, vol.21, issue.2, pp.933-940, 2006.
DOI : 10.1109/TPWRS.2006.873122

P. Clim-'info, La climatisation. les pompes à chaleur. les chiffres du marché français de janvier à août 2016, 2016.

E. Commission, Benchmarking smart metering deployment in the EU-27 with a focus on electricity, European Commission, 2014.

V. Debusschere, K. Basu, and S. Bacha, Identification et prédiction non intrusive de l'état des charges dans les bâtiments résidentiels à partir de mesures compteur à échantillonnage réduit, Symposium de Génie Électrique 2014, 2014.

J. Dickert and P. Schegner, Residential load models for network planning purposes, 2010 Modern Electric Power Systems, pp.1-6, 2010.

J. Dickert and P. Schegner, A time series probabilistic synthetic load curve model for residential customers, 2011 IEEE Trondheim PowerTech, pp.1-6, 2011.
DOI : 10.1109/PTC.2011.6019365

N. Ding, Load models for operation and planning of electricity distribution networks with metering data. Theses, 2012.
URL : https://hal.archives-ouvertes.fr/tel-01557762

A. Doulet and P. Bornard, Réseaux électriques avant-propos. Techniques de l'ingénieur Généralités sur les réseaux électriques, base documentaire : TIB261DUO.(ref. article : d4000), p.2013

M. El and G. , Caractérisation aveugle de la courbe de charge électrique : Détection, classification et estimation des usages dans les secteurs résidentiel et tertiaire. Theses, 2009.

. Enertech, Etude par mesure de l'ensemble des consommations d'énergie d'un hôtel, 2001.

. Enertech, Consommations d'électricité par usage dans un hôtel 3* parisien, 2003.

. Enertech, Review of all existing european monitoring campaigns in households, REMODECE, 2006.

R. Erdf, Règles relatives à la programmation, au mécanisme d'ajustement et au dispositif de responsable d'equilibre. chapitre f. relations entre le grd et le responsable d'equilibre . dispositions applicables pour l'estimation des courbes de charges, p.2015

A. Explicit and A. Ile-de-france, Enquête sur les consommations d'énergie des commerces et services de proximité en région ile-de-france, 2008.

A. Ferrage, M. Bocquel, N. Kong, T. Barbier, and R. Girard, Using simulated predictive load curves to improve DSO's network development planning methods integrating smart grids functionalities, 23rd International Conference on Electricity Distribution -CIRED 2015, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01174679

P. Ferrand, Comptage d'électricité fondements de la tarification, Techniques de l'ingénieur Problématiques communes des réseaux électriques : du fonctionnement au comptage, base documentaire : TIB266DUO.(ref. article : d4951), 2001.

M. B. Figueiredo, A. De-almeida, and B. Ribeiro, An Experimental Study on Electrical Signature Identification of Non-Intrusive Load Monitoring (NILM) Systems, pp.31-40, 2011.
DOI : 10.1007/978-3-642-15381-5_26

D. Fischer, A. Härtl, and B. Wille-haussmann, Model for electric load profiles with high time resolution for German households, Energy and Buildings, vol.92, pp.170-179, 2015.
DOI : 10.1016/j.enbuild.2015.01.058

D. Fischer and H. Madani, On heat pumps in smart grids: A review, Renewable and Sustainable Energy Reviews, vol.70, pp.342-357, 2017.
DOI : 10.1016/j.rser.2016.11.182

A. Jimeno, A. Fonseca, and . Schlueter, Integrated model for characterization of spatiotemporal building energy consumption patterns in neighborhoods and city districts, Applied Energy, vol.142, pp.247-265, 2015.

C. B. and F. Gleizes, De plus en plus de foyers équipés de biens électroniques, INSEE, 2015.

K. Gajowniczek and T. Zabkowski, Short Term Electricity Forecasting Using Individual Smart Meter Data, Procedia Computer Science, vol.35, pp.589-597, 2014.
DOI : 10.1016/j.procs.2014.08.140

URL : https://doi.org/10.1016/j.procs.2014.08.140

A. Gerossier, T. Barbier, and R. Girard, A novel method for decomposing electricity feeder load into elementary profiles from customer information, Applied Energy, vol.203, pp.752-760, 2017.
DOI : 10.1016/j.apenergy.2017.06.096

URL : https://hal.archives-ouvertes.fr/hal-01558385

L. Girardin, F. Marechal, M. Dubuis, N. Calame-darbellay, and D. Favrat, EnerGis: A geographical information based system for the evaluation of integrated energy conversion systems in urban areas, Energy, vol.35, issue.2, pp.830-840, 2008.
DOI : 10.1016/j.energy.2009.08.018

. Conseil-général-du-bas-rhin and E. Ademe, Diagnostic énergétique de l'hôtel du département du bas-rhin, 2005.

N. Good, L. Zhang, A. Navarro-espinosa, and P. Mancarella, High resolution modelling of multi-energy domestic demand profiles, Applied Energy, vol.137, pp.193-210, 2015.
DOI : 10.1016/j.apenergy.2014.10.028

Y. Goude, R. Nedellec, and N. Kong, Local Short and Middle Term Electricity Load Forecasting With Semi-Parametric Additive Models, IEEE Transactions on Smart Grid, vol.5, issue.1, pp.440-446, 2014.
DOI : 10.1109/TSG.2013.2278425

A. Grandjean, J. Adnot, and G. Binet, A review and an analysis of the residential electric load curve models, Renewable and Sustainable Energy Reviews, vol.16, issue.9, pp.6539-6565, 2012.
DOI : 10.1016/j.rser.2012.08.013

URL : https://hal.archives-ouvertes.fr/hal-00877155

A. Grandjean, Introduction de non linéarités et de non stationnarités dans les modèles de représentation de la demande électrique résidentielle, Thèse de doctorat dirigée par Adnot, 2013.

B. Grinden and N. Feilberg, Analysis of monitoring campaign in europe, REMODECE project, 2008.

E. Grover-silva, R. Girard, and G. Kariniotakis, Multi-temporal optimal power flow for assessing the renewable generation hosting capacity of an active distribution system, 2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D), pp.1-5, 2016.
DOI : 10.1109/TDC.2016.7520043

URL : https://hal.archives-ouvertes.fr/hal-01309189

E. Grover-silva, R. Girard, and G. Kariniotakis, Optimal sizing and placement of distribution grid connected battery systems through an SOCP optimal power flow algorithm, Applied Energy, vol.219, 2017.
DOI : 10.1016/j.apenergy.2017.09.008

URL : https://hal.archives-ouvertes.fr/hal-01617620

R. F. Hamilton, Synthetic or equivalent load curves, Electrical Engineering, vol.61, issue.6, pp.369-381, 1942.
DOI : 10.1109/EE.1942.6436337

Y. Han, X. Sha, E. Grover-silva, and P. Michiardi, On the impact of socio-economic factors on power load forecasting, 2014 IEEE International Conference on Big Data (Big Data), 2014.
DOI : 10.1109/BigData.2014.7004299

URL : https://hal.archives-ouvertes.fr/hal-01223513

P. Street and I. , Dataport from Pecan Street Available : https ://dataport, p.2017

R. V. Jones, A. Fuertes, and K. J. Lomas, The socio-economic, dwelling and appliance related factors affecting electricity consumption in domestic buildings, Renewable and Sustainable Energy Reviews, vol.43, pp.901-917, 2015.
DOI : 10.1016/j.rser.2014.11.084

M. Kavgic, A. Mavrogianni, D. Mumovic, A. Summerfield, Z. Stevanovic et al., A review of bottom-up building stock models for energy consumption in the residential sector, Building and Environment, vol.45, issue.7, pp.1683-1697, 2010.
DOI : 10.1016/j.buildenv.2010.01.021

J. Keirstead, N. Samsatli, and N. Shah, Syncity : an integrated tool kit for urban energy systems modelling, Fifth Urban Research Symposium, 2009.

N. Kong, M. Bocquel, T. Barbier, P. Guillaume, C. Pierre et al., Long-term forecast of local electrical demand and evaluation of future impacts on the electricity distribution network, CIRED - Open Access Proceedings Journal, vol.2017, issue.1, 2017.
DOI : 10.1049/oap-cired.2017.0743

URL : https://hal.archives-ouvertes.fr/hal-01513138

M. L. Chan, E. N. Marsh, J. Y. Yoon, and G. B. Ackerman, Simulation-based load synthesis methodology for evaluating load-management programs, IEEE Transactions on Power Apparatus and Systems, issue.4, pp.1001771-1778, 1981.
DOI : 10.1109/tpas.1981.316516

K. Le-zhou, C. Shan-lin-yang, and . Shen, A review of electric load classification in smart grid environment, Renewable and Sustainable Energy Reviews, vol.24, pp.103-110, 2013.
DOI : 10.1016/j.rser.2013.03.023

V. Lefieux, Modèles semi-paramétriques appliqués à la prévision des séries temporelles. Cas de la consommation d'électricité, 2007.

L. Letinois, Methodologie de repartition spatiale de la population, 2014.

X. Luo, J. Wang, M. Dooner, and J. Clarke, Overview of current development in electrical energy storage technologies and the application potential in power system operation, Applied Energy, vol.137, pp.511-536, 2015.
DOI : 10.1016/j.apenergy.2014.09.081

B. Maresca, A. Dujin, and R. Picard, La consommation d'énergie dans l'habitat. entre recherche de confort et impératif écologique, 2009.

O. Mazdiyasni, A. Aghakouchak, S. J. Davis, S. Madadgar, A. Mehran et al., Increasing probability of mortality during Indian heat waves, Science Advances, vol.14, issue.469, p.2017
DOI : 10.1175/JHM-D-13-010.1

E. Mckenna, I. Richardson, and M. Thomson, Smart meter data: Balancing consumer privacy concerns with legitimate applications, Energy Policy, vol.41, pp.807-814, 2012.
DOI : 10.1016/j.enpol.2011.11.049

F. Mcloughlin, A. Duffy, and M. Conlon, A clustering approach to domestic electricity load profile characterisation using smart metering data, Applied Energy, vol.141, pp.190-199, 2015.
DOI : 10.1016/j.apenergy.2014.12.039

A. Mutanen, M. Ruska, S. Repo, and P. Jarventausta, Customer Classification and Load Profiling Method for Distribution Systems, IEEE Transactions on Power Delivery, vol.26, issue.3, pp.1755-1763, 2011.
DOI : 10.1109/TPWRD.2011.2142198

V. Jukka, P. D. Paatero, and . Lund, A model for generating household electricity load profiles, International Journal of Energy Research, vol.30, issue.5, pp.273-290, 2006.

P. Région, A. , and E. , Etude des paramètres influant sur les consommations de climatisation dans les immeubles de bureaux, 2002.

P. Région and E. , Technologies de l'information et éclairage. enquêtes de terrain dans 50 bâtiments de bureaux, 2004.

J. Page, D. Basciotti, O. Pol, J. Nuno-fidalgo, M. Couto et al., A multi-energy modelling, simulation, and optimization environment for urban energy infrastructure planning, Conference of International Building Performance Simulation Association, 2013.

T. Pons, La compensation des pertes à erdf. présentation aux membres du groupe de travail cre sur les pertes, 2009.

R. Erdf-direction, Référentiel documentaire pour l'offre de raccordement et l'accès au réseau des installations des utilisateurs individuels du réseau public de distribution, 2007.

D. Teemu-rasanen, H. Voukantsis, K. Niska, M. Karatzas, and . Kolehmainen, Data-based method for creating electricity use load profiles using large amount of customer-specific hourly measured electricity use data, Applied Energy, vol.87, issue.11, pp.3538-3545, 2010.
DOI : 10.1016/j.apenergy.2010.05.015

C. F. Reinhart and C. Davila, Urban building energy modeling ??? A review of a nascent field, Building and Environment, vol.97, pp.196-202, 2016.
DOI : 10.1016/j.buildenv.2015.12.001

F. Christoph, T. Reinhart, . Dogan, T. Jakubiec, A. Rakha et al., Umi -an urban simulation environment for building energy use, daylighting and walkability, 13th Conference of International Building Performance Simulation Association, 2013.

J. D. Rhodes, W. J. Cole, C. R. Upshaw, T. F. Edgar, and M. E. Webber, Clustering analysis of residential electricity demand profiles, Applied Energy, vol.135, pp.461-471, 2014.
DOI : 10.1016/j.apenergy.2014.08.111

I. Richardson, M. Thomson, D. Infield, and C. Clifford, Domestic electricity use: A high-resolution energy demand model, Energy and Buildings, vol.42, issue.10, pp.1878-1887, 2010.
DOI : 10.1016/j.enbuild.2010.05.023

D. Robinson, F. Haldi, J. Kämpf, P. Leroux, D. Perez et al., Citysim : comprehensive micro-simulation of resource flows for sustainable urban planning, 2009.

A. Rogeau, T. Barbier, R. Girard, and N. Kong, Evolution of electrical distribution grid sizing considering self-consumption of local renewable production, CIRED - Open Access Proceedings Journal, vol.2017, issue.1, 2017.
DOI : 10.1049/oap-cired.2017.1248

URL : https://hal.archives-ouvertes.fr/hal-01506218

R. Languedoc-roussillion and E. , Etude des consommations électriques de la cuisine du lycée jules guesde (montpellier), 2009.

K. P. Schneider, J. C. Fuller, and D. P. Chassin, Multi-State Load Models for Distribution System Analysis, IEEE Transactions on Power Systems, vol.26, issue.4, pp.2425-2433, 2011.
DOI : 10.1109/TPWRS.2011.2132154

K. P. Schneider and T. F. Weaver, Volt-VAR optimization on American Electric Power feeders in Northeast Columbus, PES T&D 2012, pp.1-8, 2012.
DOI : 10.1109/TDC.2012.6281586

A. Seppala, Load research and load estimation in electricity distribution. Theses, Technical research center of Finland, 1996.

E. Parliamentary and R. Service, Smart electricity grids and meters in the EU Member States, European Parliament, 2015.

R. Sevlian and R. , Value of aggregation in smart grids, 2013 IEEE International Conference on Smart Grid Communications (SmartGridComm), pp.714-719, 2013.
DOI : 10.1109/SmartGridComm.2013.6688043

R. A. Sevlian and R. , A model for the effect of aggregation on short term load forecasting, 2014 IEEE PES General Meeting | Conference & Exposition, pp.1-5, 2014.
DOI : 10.1109/PESGM.2014.6938899

Z. Shao, F. Chao, S. Yang, and K. Zhou, A review of the decomposition methodology for extracting and identifying the fluctuation characteristics in electricity demand forecasting, Renewable and Sustainable Energy Reviews, vol.75, 2016.
DOI : 10.1016/j.rser.2016.10.056

Z. Shao, F. Gao, Q. Zhang, and S. Yang, Multivariate statistical and similarity measure based semiparametric modeling of the probability distribution: A novel approach to the case study of mid-long term electricity consumption forecasting in China, Applied Energy, vol.156, pp.502-518, 2015.
DOI : 10.1016/j.apenergy.2015.07.037

Y. Shimoda, T. Fujii, T. Morikawa, and M. Mizuno, Evaluation on residential energy efficiency programs using the city-scale end-use simulation model, In Summer Study on Energy Efficiency in Buildings, 2004.

L. Shorrock and J. Dunster, The physically-based model BREHOMES and its use in deriving scenarios for the energy use and carbon dioxide emissions of the UK housing stock, Energy Policy, vol.25, issue.12, pp.1027-1037, 1997.
DOI : 10.1016/S0301-4215(97)00130-4

C. Conseil and O. Sidler, Maîtrise de la demande electrique. campagne de mesures par usage dans le secteur domestique, 1995.

O. Sidler, Connaissance et maîtrise des usages spécifiques de l'électricité dans le secteur résidentiel, 2009.

M. Stokes, Removing barriers to embedded generation : a fine-grained load model to support low voltage network performance analysis, 2005.

M. Stokes, M. Rylatt, and K. Lomas, A simple model of domestic lighting demand, Energy and Buildings, vol.36, issue.2, pp.103-116, 2004.
DOI : 10.1016/j.enbuild.2003.10.007

G. Lukas and V. Swan, Modeling of end-use energy consumption in the residential sector : A review of modeling techniques, Renewable and Sustainable Energy Reviews, vol.13, issue.8, pp.1819-1835, 2009.

T. Muneer, Solar radiation and daylight models for the energy efficient design of buildings, 1997.

H. Thélot, Les achats d'énergie dans le secteur tertiaire marchand en 2011, INSEE, 2014.

E. Kenneth and . Train, An assessment of the accuracy of statistically adjusted engineering (sae) models of end-use load curves, Energy, vol.17, issue.7, pp.713-723, 1992.

B. Tremeac, P. Bousquet, C. De-munck, G. Pigeon, V. Masson et al., Influence of air conditioning management on heat island in Paris air street temperatures, Applied Energy, vol.95, pp.95102-110, 2012.
DOI : 10.1016/j.apenergy.2012.02.015

URL : https://hal.archives-ouvertes.fr/hal-01505291

L. Joaquim, S. M. Viegas, R. Vieira, V. M. Melcio, J. M. Mendes et al., Classification of new electricity customers based on surveys and smart metering data, Energy, vol.107, pp.804-817, 2016.

É. Vorger, Study of the influence of the inhabitants behavior on the energy performance of buildings, 2014.
URL : https://hal.archives-ouvertes.fr/tel-01144461

C. F. Walker and J. L. Pokoski, Residential Load Shape Modelling Based on Customer Behavior, IEEE Transactions on Power Apparatus and Systems, vol.104, issue.7, pp.1041703-1711, 1985.
DOI : 10.1109/TPAS.1985.319202

Y. Wang and L. Li, Time-of-use electricity pricing for industrial customers: A survey of U.S. utilities, Applied Energy, vol.149, pp.89-103, 2015.
DOI : 10.1016/j.apenergy.2015.03.118

J. Widén, M. Lundh, I. Vassileva, E. Dahlquist, K. Ellegård et al., Constructing load profiles for household electricity and hot water from time-use data???Modelling approach and validation, Energy and Buildings, vol.41, issue.7, pp.41753-768, 2009.
DOI : 10.1016/j.enbuild.2009.02.013

J. Widén and E. Wäckelgård, A high-resolution stochastic model of domestic activity patterns and electricity demand, Applied Energy, vol.87, issue.6, pp.1880-1892, 2010.
DOI : 10.1016/j.apenergy.2009.11.006

R. Yao and K. Steemers, A method of formulating energy load profile for domestic buildings in the UK, Energy and Buildings, vol.37, issue.6, pp.663-671, 2005.
DOI : 10.1016/j.enbuild.2004.09.007

A. Seddik and Y. , Intégration des énergies renouvelables au réseau de distribution d'électricité, 2014.

J. Paul-zimmermann, End-use metering campaign in 400 households in sweden. assessment of the potential electricity savings, 2009.

?. ???-?-t-t, ?. ??, ?. , ?. ?. ?s-t-?-?-r???-?-t-t, ?. et al., ????t??? ?????rs ??r???? ???????????? ??st???rs? ??r s???r?? ???rs? ???s? ???s?r????ts ?r? ???r???t??? ??t ?????s? t???? s???? ??? ????tr???t? ??st???rs? ???tr???t???s ?r? t???? ??t? ??????t? ???s ???r???t?? ????tr??? ?t? ?????? ??t? ?s ???s???r?? ?s

?. ?-t??s-??s?-st????-??-?s?-?@bullet??tr???t?-?????r, ?. ?. , ?. ??-???@bullet-r???-?-?-s-?-?-?r?, ?. ???-??t?-?-?-?-?-?r-?-?-t??, ?. ??-?-?r? et al., ?? ??s??r? s??? ?????rs ??? ???s? t?? ???s?r?s ?r? t?? s??r?? ??? t???r ???r? ??? q????t? ?s ??t s??????t? ???s ??? r?s??t ?r?? ??t???s? ?rr?rs ?r ?r?? ??t??r? r???????r?t??? ?r ???s???? ????r??s ?? t?? ?r?? ????? ??t???t???? ??t????r ??r t????r?t?r?? ?s r?s????ts t?r? ?? ????tr?? ??????s t? ????st t???r ?????r t????r?? t?r? ????t?, ?? b f ? ?????? ???r??s?s ?? a f ? ? ??? ?????? s?r??s ?s ?????? ?r?? t?? ? +150% -50% -100% Commercial Public eq. Rest. & hotels Industry, 2011.

?. ?-?s-t, ?. , ?. , ?. , ?. ?@bullet?s?-t??-???r???t?? et al., ? ?s s?????t?? ??t? ???? t?? ??t???r??s? r?s????t??? ??r??? ?r??? ??? t?rt??r? ??r???? ?r???? ?? s?? t?? t?? ?r????s ???t?? ????? ?? t???r r?s???t??? s??r? ???r? ??? r?s???, p.1000

?. ????r?, ?. ?. P???-???-?-??-??t?, and . ?????r?, Added residential load (kW) Added office load (kW), Time Demand