Mohsen Sharifpur1,2, Mohamed Salem3, Yonis M Buswig4, Habib Forootan Fard5, Jaroon Rungamornrat6,*
CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 5679-5690, 2023, DOI:10.32604/cmc.2023.034726
Abstract Residential 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,… More >
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