Modeling and Forecasting End-Use Energy Consumption for Residential Buildings in Kuwait Using a Bottom-Up Approach
暂无分享,去创建一个
[1] Kelvin K. W. Yau,et al. Predicting electricity energy consumption: A comparison of regression analysis, decision tree and neural networks , 2007 .
[2] L. Hunt,et al. Measuring underlying energy efficiency in the GCC countries using a newly constructed dataset , 2019, Energy Transitions.
[3] I. Azevedo,et al. Residential electricity consumption in Portugal: Findings from top-down and bottom-up models , 2011 .
[4] Noureddine Settou,et al. Modeling and forecasting energy consumption for residential buildings in Algeria using bottom-up approach , 2016 .
[5] Omar Khattab,et al. Occupants’ behavior and activity patterns influencing the energy consumption in the Kuwaiti residences , 2003 .
[6] Lester C. Hunt,et al. Modelling residential electricity demand in the GCC countries , 2016 .
[7] Runa Nesbakken,et al. Price sensitivity of residential energy consumption in Norway , 1999 .
[8] Jürgen P. Kropp,et al. Heating and cooling energy demand and related emissions of the German residential building stock under climate change , 2011 .
[9] M. A. Rafe Biswas,et al. Regression analysis for prediction of residential energy consumption , 2015 .
[10] Ali Hajiah,et al. Comparison of four building archetype characterization methods in urban building energy modeling (UBEM): A residential case study in Kuwait City , 2017 .
[11] V. Ismet Ugursal,et al. Comparison of neural network, conditional demand analysis, and engineering approaches for modeling end-use energy consumption in the residential sector , 2008 .
[12] M. Krarti,et al. Impact of subsidization on high energy performance designs for Kuwaiti residential buildings , 2016 .
[13] Frank M. Bass,et al. A New Product Growth for Model Consumer Durables , 2004, Manag. Sci..
[14] Ali Hajiah,et al. Simulation-based analysis of the use of PCM-wallboards to reduce cooling energy demand and peak-loads in low-rise residential heavyweight buildings in Kuwait , 2017 .
[15] V. Ismet Ugursal,et al. Modeling of end-use energy consumption in the residential sector: A review of modeling techniques , 2009 .
[16] Alam Hossain Mondal,et al. Market penetration modeling of high energy efficiency appliances in the residential sector , 2017 .
[17] Atif S. Debs. ENERGY CONSERVATION IN KUWAITI BUILDINGS , 1984 .
[18] V. I. Ugursal,et al. A residential end‐use energy consumption model for Canada , 1998 .
[19] Ali Hajiah,et al. Life cycle building impact of a Middle Eastern residential neighborhood , 2017 .
[20] Dejan Mumovic,et al. A review of bottom-up building stock models for energy consumption in the residential sector , 2010 .
[21] Moncef Krarti,et al. Evaluation of large scale building energy efficiency retrofit program in Kuwait , 2015 .
[22] T. Considine. The Impacts of Weather Variations on Energy Demand and Carbon Emissions , 2000 .
[23] Nan Zhou,et al. Analysis of potential energy saving and CO2 emission reduction of home appliances and commercial equipments in China , 2011 .
[24] Tarek Atalla,et al. A Global Degree Days Database for Energy-Related Applications , 2018 .
[25] International Handbook on the Energy Economics , 2010 .
[26] Michael A. McNeil,et al. Modeling diffusion of electrical appliances in the residential sector , 2010 .
[27] Moncef Krarti,et al. Analysis of impact of daylight time savings on energy use of buildings in Kuwait , 2011 .
[28] J. Swisher,et al. Exploring the gap : Top-down versus bottom-up analyses of the cost of mitigating global warming , 1993 .
[29] M. Elkhafif. An iterative approach for weather-correcting energy consumption data , 1996 .
[30] Frédéric Magoulès,et al. A review on the prediction of building energy consumption , 2012 .