Prediction of greenhouse gas reduction potential in Japanese residential sector by residential energy end-use model

2010 ◽  
Vol 87 (6) ◽  
pp. 1944-1952 ◽  
Author(s):  
Yoshiyuki Shimoda ◽  
Yukio Yamaguchi ◽  
Tomo Okamura ◽  
Ayako Taniguchi ◽  
Yohei Yamaguchi
Keyword(s):  
Greenhouse Gas ◽  
Reduction Potential ◽  
Residential Energy ◽  
Residential Sector ◽  
Greenhouse Gas Reduction ◽  
End Use

scholarly journals Willow Biomass Energy Generation Efficiency and Greenhouse Gas Reduction Potential

2015 ◽  
Vol 24 (6) ◽  
pp. 2627-2640 ◽  
Author(s):  
Mariusz Stolarski ◽  
Michał Krzyżaniak ◽  
Kazimierz Warmiński ◽  
Józef Tworkowski ◽  
Stefan Szczukowski
Keyword(s):  
Greenhouse Gas ◽  
Reduction Potential ◽  
Energy Generation ◽  
Biomass Energy ◽  
Generation Efficiency ◽  
Greenhouse Gas Reduction

Use of Nerual Networks for Modeling Energy Consumption in the Residential Sector

2010 ◽  
pp. 180-204
Author(s):  
Merih Aydinalp Koksal
Keyword(s):  
Energy Consumption ◽  
Energy Use ◽  
Residential Energy ◽  
Residential Energy Consumption ◽  
Residential Sector ◽  
Advantages And Disadvantages ◽  
Energy Consumption Model ◽  
Engineering Models ◽  
Conditional Demand Analysis ◽  
End Use

This chapter investigates the use of neural networks (NN) for modeling of residential energy consumption. Currently, engineering and conditional demand analysis (CDA) approaches are mainly used for residential energy modeling. The studies on the use of NN for residential energy consumption modeling are limited to estimating the energy use of individual or a group of buildings. Development of a national residential end-use energy consumption model using NN approach is presented in this chapter. The comparative evaluation of the results of the model shows NN approach can be used to accurately predict and categorize the energy consumption in the residential sector as well as the other two approaches. Based on the specific advantages and disadvantages of three models, developing a hybrid model consisting of NN and engineering models is suggested.

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