Advanced energy benchmarking in residential buildings, using data-driven modeling, provides a fast, accurate, and systematic approach to assessing energy performance and comparing it with reference standards or targets. This process is essential for identifying opportunities to improve energy efficiency and for shaping effective energy retrofit strategies. However, building professionals often face barriers to adopting these tools, mainly due to the complexity and limited interpretability of data-driven models, which can negatively affect decision-making.

中文翻译：

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基于数据分析的可解释能源基准流程，用于支持大型住宅建筑存量的改造决策


住宅建筑中的高级能源基准测试使用数据驱动的建模，提供了一种快速、准确和系统的方法来评估能源绩效并将其与参考标准或目标进行比较。这个过程对于确定提高能源效率的机会和制定有效的能源改造策略至关重要。然而，建筑专业人士在采用这些工具时经常面临障碍，主要是由于数据驱动模型的复杂性和有限的可解释性，这可能会对决策产生负面影响。