Building energy simulation (BES) has been widely adopted for the investigation of building environmental and energy performance for different design and retrofit alternatives. Data-driven analytics is vital for interpreting and analyzing BES results to reveal trends and provide useful insights. However, seamless integration between BES and data-driven analytics current does not exist. This paper presents eplusr, an R package for conducting data-driven analytics with EnergyPlus. The R package is cross-platform and distributed using CRAN (The Comprehensive R Archive Network). With a data-centric design philosophy, the proposed framework focuses on better and more seamless integration between BES and data-driven analytics. It provides structured inputs/outputs format that can be easily piped into data analytics workflows. The R package also provides an infrastructure to bring portable and reusable computational environment for building energy modeling to facilitate reproducibility research.

建筑能量模拟（BES）已被广泛用于研究针对不同设计和翻新替代方案的建筑环境和能源性能。数据驱动的分析对于解释和分析BES结果以揭示趋势并提供有用的见解至关重要。但是，目前尚不存在BES与数据驱动的分析之间的无缝集成。本文介绍了eplusr，这是一个R软件包，用于使用EnergyPlus进行数据驱动的分析。R包是跨平台的，并使用CRAN（综合R存档网络）进行分发。提出了以数据为中心的设计理念，该框架着重于BES与数据驱动的分析之间更好，更无缝的集成。它提供了结构化的输入/输出格式，可以轻松地将其传递到数据分析工作流中。