提出了一种称为PSTAR（主项和次项分析与重整化）的技术，用于分析从四栋房屋的短期测试数据中获得的建筑荷载系数、有效热容和太阳能增益。将这些值与审核描述中的值进行比较。一般来说，审计描述往往高估负荷系数和太阳能增益，有时甚至相当严重。热容有时被高估，有时被低估。 经审计和测量的特征之间的差异对年负荷和峰值负荷的综合影响通常是严重的。审计值与实际值不同可能有三个原因:（1）审计师错误，（2）材料特性和隐藏特征的不确定性，（3）模拟模型的错误。在这项研究中，通过让高技能人员准备审计说明，审计师的错误大大减少了。本研究揭示了基于测量的绩效评估的重要性。 关键词:监测、住房、能源审计、热负荷、太阳能热增益、热容量、测量、比较、计算、性能。引用:研讨会论文，佐治亚州亚特兰大，1990年

A technique called PSTAR (Primary and Secondary Terms Analysis and Renormalisation) is presented that analyses the building load coefficient, the effective heat capacitance, and solar gains obtained from short term test data taken on four houses. These are compared with the values from an audit description. In general, the audit description tends to overestimate the load coefficient and solar gains, sometimes quite seriously. The heat capacitance is sometimes overestimated and sometimes underestimated. The combined impact of the discrepancies between audited and measured characteristics on annual and peak loads is, quite often, serious. The audit values differ from actual for three possible reasons - (1) auditor errors, (2) uncertainties in material properties and hidden features, and, (3) errors in simulation models. Auditor errors have been greatly reduced in this study by having highly skilled personnel prepare audit descriptions. The importance of measurement-based performance assessment emerges from this study.KEYWORDS: monitoring, housing, energy auditing, heat-load, solar heat gain, thermal capacity, measuring, comparing, calculating, performance.