Sharifpur, MohsenSalem, MohamedBuswig, Yonis M.Fard, Habib ForootanRungamornrat, Jaroon2024-04-292024-04-292023Shaifpur, M., Salem, M., Buswig, Y.M. et al. 2023, 'Modeling CO2 emission in residential sector of three countries in Southeast of Asia by applying intelligent techniques', Computers,Materials & Continua, vol. 74, no. 3, pp. 5679-5690. DOI: 10.32604/cmc.2023.034726.1546-2218 (print)1546-2226 (online)10.32604/cmc.2023.034726http://hdl.handle.net/2263/95791Residential sector is one of the energy-consuming districts of countries that causes CO2 emission in large extent. In this regard, this sector must be considered in energy policy making related to the reduction of emission of CO2 and other greenhouse gases. In the present work, CO2 emission related to the residential sector of three countries, including Indonesia, Thailand, and Vietnam in Southeast Asia, are discussed and modeled by employing Group Method of Data Handling (GMDH) and Multilayer Perceptron (MLP) neural networks as powerful intelligent methods. Prior to modeling, data related to the energy consumption of these countries are represented, discussed, and analyzed. Subsequently, to propose a model, electricity, natural gas, coal, and oil products consumptions are applied as inputs, and CO2 emission is considered as the model’s output. The obtained R2 values for the generated models based on MLP and GMDH are 0.9987 and 0.9985, respectively. Furthermore, values of the Average Absolute Relative Deviation (AARD) of the regressions using the mentioned techniques are around 4.56% and 5.53%, respectively. These values reveal significant exactness of the models proposed in this article; however, making use of MLP with the optimal architecture would lead to higher accuracy.en© This work is licensed under a Creative Commons Attribution 4.0 International License.Intelligent techniquesEnergy consumptionCO2 emissionsGroup method of data handling (GMDH)Multilayer perceptron (MLP)Engineering, built environment and information technology articles SDG-04SDG-04: Quality educationEngineering, built environment and information technology articles SDG-07SDG-07: Affordable and clean energyEngineering, built environment and information technology articles SDG-09SDG-09: Industry, innovation and infrastructureEngineering, built environment and information technology articles SDG-11SDG-11: Sustainable cities and communitiesEngineering, built environment and information technology articles SDG-12SDG-12: Responsible consumption and productionEngineering, built environment and information technology articles SDG-13SDG-13: Climate actionEngineering, built environment and information technology articles SDG-17SDG-17: Partnerships for the goalsArticle