Energy Consumption and Carbon Dioxide Production Optimization in an Educational Building Using the Supported Vector Machine and Ant Colony System
نویسندگان
چکیده
Buildings account for sixty percent of the world’s total annual energy consumption; therefore, it is essential to find ways reduce amount used in this sector. The road administration organization Jakarta, Indonesia, utilized a questionnaire as well insights industry experts determine most effective optimization parameters. It was decided select variables such wall and ceiling materials, number type windows, insulation thickness. Several different modes were evaluated using DesignBuilder software. Training data with supported vector machine (SVM) revealed relationship between inputs two critical outputs, namely consumption CO2 production, ant colony algorithm optimization. According findings, ratio north east windows one direction 70 percent, while south window same ranges from 35 50 percent. When percentage west 60 produced reduced negligible levels.
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ژورنال
عنوان ژورنال: Sustainability
سال: 2023
ISSN: ['2071-1050']
DOI: https://doi.org/10.3390/su15043118