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With the rapid development of big data and sensing technology, building energy consumption and IEQ data will be extensively accumulated during the operation stage. Take a typical office building as an example, it can easily produce millions of data related to energy consumption and IEQ in a year, which contain huge data mining values for the building performance diagnosis and improvement. However, conventional data analysis methods are generally inefficient to process such a large scale of data and cannot maximize the value of big data. More advanced and efficient data analysis methods must be adopted.

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Further Exploration of Operating Performance of Individual Green Office Building Through Data Mining

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  • 发表日期：

    2025年

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  • Yang Geng

摘要

With the rapid development of big data and sensing technology, building energy consumption and IEQ data will be extensively accumulated during the operation stage. Take a typical office building as an example, it can easily produce millions of data related to energy consumption and IEQ in a year, which contain huge data mining values for the building performance diagnosis and improvement. However, conventional data analysis methods are generally inefficient to process such a large scale of data and cannot maximize the value of big data. More advanced and efficient data analysis methods must be adopted.