Artículos de revistas sobre el tema "Residential demand modelling"
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Dilaver, Zafer y Lester C. Hunt. "Modelling and forecasting Turkish residential electricity demand". Energy Policy 39, n.º 6 (junio de 2011): 3117–27. http://dx.doi.org/10.1016/j.enpol.2011.02.059.
Texto completoAssimakopoulos, V. "Residential energy demand modelling in developing regions". Energy Economics 14, n.º 1 (enero de 1992): 57–63. http://dx.doi.org/10.1016/0140-9883(92)90025-9.
Texto completoWorthington, Andrew C. y Mark Hoffman. "AN EMPIRICAL SURVEY OF RESIDENTIAL WATER DEMAND MODELLING". Journal of Economic Surveys 22, n.º 5 (24 de julio de 2008): 842–71. http://dx.doi.org/10.1111/j.1467-6419.2008.00551.x.
Texto completoAtalla, Tarek N. y Lester C. Hunt. "Modelling residential electricity demand in the GCC countries". Energy Economics 59 (septiembre de 2016): 149–58. http://dx.doi.org/10.1016/j.eneco.2016.07.027.
Texto completoAlcocer Yamanaka, Víctor Hugo y Velitchko G. Tzatchkov. "Neyman-Scott-based water distribution network modelling". Ingeniería e Investigación 32, n.º 3 (1 de septiembre de 2012): 32–36. http://dx.doi.org/10.15446/ing.investig.v32n3.35937.
Texto completoMegri, Ahmed Cherif y Yao Yu. "Study of residential underfloor air distribution (UFAD) systems using a new modelling approach". Indoor and Built Environment 26, n.º 1 (28 de julio de 2016): 5–20. http://dx.doi.org/10.1177/1420326x15597544.
Texto completoStarr, Claudia, Thomas G. Cowing y David L. McFadden. "Microeconomic Modelling and Policy Analysis: Studies in Residential Energy Demand." Journal of the Operational Research Society 37, n.º 8 (agosto de 1986): 823. http://dx.doi.org/10.2307/2581969.
Texto completoChatterjee, Samprit, Thomas G. Cowing, Daniel L. McFadden y Paul C. Stern. "Macroeconomic Modelling and Policy Analysis: Studies in Residential Energy Demand". Journal of Business & Economic Statistics 3, n.º 4 (octubre de 1985): 413. http://dx.doi.org/10.2307/1391737.
Texto completoStarr, Claudia. "Microeconomic Modelling and Policy Analysis: Studies in Residential Energy Demand". Journal of the Operational Research Society 37, n.º 8 (agosto de 1986): 823–24. http://dx.doi.org/10.1057/jors.1986.145.
Texto completoBen Zaied, Younes y Marie Estelle Binet. "Modelling seasonality in residential water demand: the case of Tunisia". Applied Economics 47, n.º 19 (21 de enero de 2015): 1983–96. http://dx.doi.org/10.1080/00036846.2014.1002896.
Texto completoFerreira, Tiago de VG y Orestes M. Goncalves. "Stochastic simulation model of water demand in residential buildings". Building Services Engineering Research and Technology 41, n.º 5 (17 de diciembre de 2019): 544–60. http://dx.doi.org/10.1177/0143624419896248.
Texto completoJasiński, Tomasz. "Modelling of electricity demand in residential buildings using artificial neural networks". E3S Web of Conferences 49 (2018): 00048. http://dx.doi.org/10.1051/e3sconf/20184900048.
Texto completoCrawley, Jenny, Despina Manouseli, Peter Mallaburn y Cliff Elwell. "An Empirical Energy Demand Flexibility Metric for Residential Properties". Energies 15, n.º 14 (21 de julio de 2022): 5304. http://dx.doi.org/10.3390/en15145304.
Texto completoMagni, Chiara, Alessia Arteconi, Konstantinos Kavvadias y Sylvain Quoilin. "Modelling the Integration of Residential Heat Demand and Demand Response in Power Systems with High Shares of Renewables". Energies 13, n.º 24 (15 de diciembre de 2020): 6628. http://dx.doi.org/10.3390/en13246628.
Texto completoBlokker, E. J. M., J. H. G. Vreeburg, S. G. Buchberger y J. C. van Dijk. "Importance of demand modelling in network water quality models: a review". Drinking Water Engineering and Science Discussions 1, n.º 1 (8 de enero de 2008): 1–20. http://dx.doi.org/10.5194/dwesd-1-1-2008.
Texto completoWong, L. T. y K. W. Mui. "Stochastic modelling of water demand by domestic washrooms in residential tower blocks". Water and Environment Journal 22, n.º 2 (junio de 2008): 125–30. http://dx.doi.org/10.1111/j.1747-6593.2007.00087.x.
Texto completoSenatla, Mamahloko. "Energy demand projections and relevance of income dynamics in Gauteng’s residential sector". Journal of Energy in Southern Africa 22, n.º 4 (1 de noviembre de 2011): 31–47. http://dx.doi.org/10.17159/2413-3051/2011/v22i4a3227.
Texto completoPachanapan, Piyadanai, Panupon Trairat y Surachet Kanprachar. "Synthetic Domestic Electricity Demand in Thailand using A Modified High Resolution Modelling Tool by CREST". ECTI Transactions on Electrical Engineering, Electronics, and Communications 19, n.º 2 (30 de junio de 2021): 145–54. http://dx.doi.org/10.37936/ecti-eec.2021192.234341.
Texto completoRabah, Ali A., Hassan B. Nimer, Kamal R. Doud y Quosay A. Ahmed. "Modelling of Sudan’s Energy Supply, Transformation, and Demand". Journal of Energy 2016 (2016): 1–14. http://dx.doi.org/10.1155/2016/5082678.
Texto completoZasina, Damian y Jarosław Zawadzki. "On the Temporal Variability of Air Pollutants’ Emissions – Case Study of Residential PM10 Emission in Silesian Metropolis". New Trends in Production Engineering 3, n.º 1 (1 de agosto de 2020): 21–29. http://dx.doi.org/10.2478/ntpe-2020-0003.
Texto completoSakkas, Nikos, Sofia Yfanti, Costas Daskalakis, Eduard Barbu y Marharyta Domnich. "Interpretable Forecasting of Energy Demand in the Residential Sector". Energies 14, n.º 20 (12 de octubre de 2021): 6568. http://dx.doi.org/10.3390/en14206568.
Texto completoBlokker, E. J. M., J. H. G. Vreeburg, S. G. Buchberger y J. C. van Dijk. "Importance of demand modelling in network water quality models: a review". Drinking Water Engineering and Science 1, n.º 1 (25 de septiembre de 2008): 27–38. http://dx.doi.org/10.5194/dwes-1-27-2008.
Texto completoReade, Samantha, Temesgen Zewotir y Delia North. "Modelling household electricity consumption in eThekwini municipality". Journal of Energy in Southern Africa 27, n.º 2 (20 de julio de 2016): 38. http://dx.doi.org/10.17159/2413-3051/2016/v27i2a1340.
Texto completoMangalekar, R. D. y K. S. Gumaste. "Residential water demand modelling and hydraulic reliability in design of building water supply systems: a review". Water Supply 21, n.º 4 (21 de enero de 2021): 1385–97. http://dx.doi.org/10.2166/ws.2021.021.
Texto completoKossieris, Panagiotis y Christos Makropoulos. "Exploring the Statistical and Distributional Properties of Residential Water Demand at Fine Time Scales". Water 10, n.º 10 (19 de octubre de 2018): 1481. http://dx.doi.org/10.3390/w10101481.
Texto completoBarton, A. B. y J. R. Argue. "Integrated urban water management for residential areas: a reuse model". Water Science and Technology 60, n.º 3 (1 de julio de 2009): 813–23. http://dx.doi.org/10.2166/wst.2009.401.
Texto completoGholami, Roya, Rohit Nishant y Ali Emrouznejad. "Modeling Residential Energy Consumption". Journal of Global Information Management 29, n.º 2 (marzo de 2021): 166–93. http://dx.doi.org/10.4018/jgim.2021030109.
Texto completoShaher, Abdullah, Saad Alqahtani, Ali Garada y Liana Cipcigan. "Rooftop Solar Photovoltaic in Saudi Arabia to Supply Electricity Demand in Localised Urban Areas: A Study of the City of Abha". Energies 16, n.º 11 (24 de mayo de 2023): 4310. http://dx.doi.org/10.3390/en16114310.
Texto completoSchwanebeck, Malte, Marcus Krüger y Rainer Duttmann. "Improving GIS-Based Heat Demand Modelling and Mapping for Residential Buildings with Census Data Sets at Regional and Sub-Regional Scales". Energies 14, n.º 4 (16 de febrero de 2021): 1029. http://dx.doi.org/10.3390/en14041029.
Texto completoPanagiotidis, Paraskevas, Andrew Effraimis y George A. Xydis. "An R-based forecasting approach for efficient demand response strategies in autonomous micro-grids". Energy & Environment 30, n.º 1 (10 de julio de 2018): 63–80. http://dx.doi.org/10.1177/0958305x18787259.
Texto completoMichalik, G. "Structural modelling of energy demand in the residential sector: 1. Development of structural models". Energy 22, n.º 10 (octubre de 1997): 937–47. http://dx.doi.org/10.1016/s0360-5442(97)00029-7.
Texto completoCreaco, Enrico, Raziyeh Farmani, Lydia Vamvakeridou-Lyroudia, Steven G. Buchberger, Zoran Kapelan y Dragan A. Savić. "Correlation or not Correlation? This is the Question in Modelling Residential Water Demand Pulses". Procedia Engineering 119 (2015): 1455–62. http://dx.doi.org/10.1016/j.proeng.2015.08.1006.
Texto completoHedegaard, Rasmus Elbæk, Martin Heine Kristensen, Theis Heidmann Pedersen, Adam Brun y Steffen Petersen. "Bottom-up modelling methodology for urban-scale analysis of residential space heating demand response". Applied Energy 242 (mayo de 2019): 181–204. http://dx.doi.org/10.1016/j.apenergy.2019.03.063.
Texto completoGarcía-Gusano, Diego, Tadhg O'Mahony, Diego Iribarren y Javier Dufour. "Lessons for regional energy modelling: enhancing demand-side transport and residential policies in Madrid". Regional Studies 53, n.º 6 (1 de agosto de 2018): 826–37. http://dx.doi.org/10.1080/00343404.2018.1492711.
Texto completoChingcuanco, Franco y Eric J. Miller. "A microsimulation model of urban energy use: Modelling residential space heating demand in ILUTE". Computers, Environment and Urban Systems 36, n.º 2 (marzo de 2012): 186–94. http://dx.doi.org/10.1016/j.compenvurbsys.2011.11.005.
Texto completoRosser, Julian F., Gavin Long, Sameh Zakhary, Doreen S. Boyd, Yong Mao y Darren Robinson. "Modelling Urban Housing Stocks for Building Energy Simulation using CityGML EnergyADE". ISPRS International Journal of Geo-Information 8, n.º 4 (29 de marzo de 2019): 163. http://dx.doi.org/10.3390/ijgi8040163.
Texto completoAthanasiadis, Ioannis N., Alexandros K. Mentes, Pericles A. Mitkas y Yiannis A. Mylopoulos. "A Hybrid Agent-Based Model for Estimating Residential Water Demand". SIMULATION 81, n.º 3 (marzo de 2005): 175–87. http://dx.doi.org/10.1177/0037549705053172.
Texto completoJi, Qunfeng, Yangbo Bi, Mehdi Makvandi, Qinli Deng, Xilin Zhou y Chuancheng Li. "Modelling Building Stock Energy Consumption at the Urban Level from an Empirical Study". Buildings 12, n.º 3 (21 de marzo de 2022): 385. http://dx.doi.org/10.3390/buildings12030385.
Texto completoAntonopoulos, Ioannis, Valentin Robu, Benoit Couraud y David Flynn. "Data-driven modelling of energy demand response behaviour based on a large-scale residential trial". Energy and AI 4 (junio de 2021): 100071. http://dx.doi.org/10.1016/j.egyai.2021.100071.
Texto completoLi, Yuanmeng, Yohei Yamaguchi y Yoshiyuki Shimoda. "Impact of the pre-simulation process of occupant behaviour modelling for residential energy demand simulations". Journal of Building Performance Simulation 15, n.º 3 (22 de marzo de 2022): 287–306. http://dx.doi.org/10.1080/19401493.2021.2022759.
Texto completoSun, Yanming y Yihua Yu. "Revisiting the residential electricity demand in the United States: A dynamic partial adjustment modelling approach". Social Science Journal 54, n.º 3 (1 de septiembre de 2017): 295–304. http://dx.doi.org/10.1016/j.soscij.2017.02.004.
Texto completoLewis, Jim, Kerrie Mengersen, Laurie Buys, Desley Vine, John Bell, Peter Morris y Gerard Ledwich. "Systems Modelling of the Socio-Technical Aspects of Residential Electricity Use and Network Peak Demand". PLOS ONE 10, n.º 7 (30 de julio de 2015): e0134086. http://dx.doi.org/10.1371/journal.pone.0134086.
Texto completoGonzález, Jorge, Carlos Soares, Mohammad Najjar y Assed Haddad. "BIM and BEM Methodologies Integration in Energy-Efficient Buildings Using Experimental Design". Buildings 11, n.º 10 (19 de octubre de 2021): 491. http://dx.doi.org/10.3390/buildings11100491.
Texto completoNord, Natasa, Yiyu Ding, Ola Skrautvol y Stian Fossmo Eliassen. "Energy Pathways for Future Norwegian Residential Building Areas". Energies 14, n.º 4 (10 de febrero de 2021): 934. http://dx.doi.org/10.3390/en14040934.
Texto completoLaxmi, Kornu y V. V. S. Kesava Rao. "Estimation of Cooling Load of a Residential House using TRNSYS". Applied Research Journal of Science and Technology 2, n.º 1 (31 de diciembre de 2020): 1–24. http://dx.doi.org/10.47721/arjst20200201016.
Texto completoHunt, John, Martin Anda y Goen Ho. "Water balance modelling of alternate water sources at the household scale". Water Science and Technology 63, n.º 9 (1 de mayo de 2011): 1873–79. http://dx.doi.org/10.2166/wst.2011.399.
Texto completoJasiński, Tomasz. "Modelling the Disaggregated Demand for Electricity in Residential Buildings Using Artificial Neural Networks (Deep Learning Approach)". Energies 13, n.º 5 (9 de marzo de 2020): 1263. http://dx.doi.org/10.3390/en13051263.
Texto completoZhang, Lingxi, Nicholas Good y Pierluigi Mancarella. "Building-to-grid flexibility: Modelling and assessment metrics for residential demand response from heat pump aggregations". Applied Energy 233-234 (enero de 2019): 709–23. http://dx.doi.org/10.1016/j.apenergy.2018.10.058.
Texto completoRodrigues, Filipe, Carlos Cardeira, João M. F. Calado y Rui Melicio. "Short-Term Load Forecasting of Electricity Demand for the Residential Sector Based on Modelling Techniques: A Systematic Review". Energies 16, n.º 10 (15 de mayo de 2023): 4098. http://dx.doi.org/10.3390/en16104098.
Texto completoBhandari, Ramchandra y Surendra Pandit. "Electricity as a Cooking Means in Nepal—A Modelling Tool Approach". Sustainability 10, n.º 8 (10 de agosto de 2018): 2841. http://dx.doi.org/10.3390/su10082841.
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