建筑不必要的能源消耗的很大一部分通常可归因于特定的运行事件，尤其是在具有复杂能源消耗子系统的大型机构建筑中。一旦确定，这些事件可以通过回归技术和台式微型计算机上的专家系统，利用日常现场访问的信息和观察结果，自动跟踪。一种原型方法已经能够将试点建筑的能耗降低15%。该建筑是一座大学娱乐中心（Rec中心），作者曾对其进行过研究（Haberl和Claridge，1985年）。原型系统中使用的回归技术与其他方法类似，例如普林斯顿记分法（CEES 1986）、Balcomb（1980）、Leslie（1985）和Palmiter and Hanford（1986）。 完整的方法是新的，因为来自基于回归的消费预测的信息被传递给专家系统，专家系统就异常消费的可能原因提出建议。该专家系统使用了一个知识库，该知识库由现场维护人员的专业知识以及该建筑研究六年来获得的作者的专业知识组成。开发的方法称为建筑能源分析顾问（BEACON）系统（Haberl in progress），它有两个主要组成部分:能源消耗预测和分析异常消耗的专家系统。本文描述了整个系统及其结构，并介绍了将该方法应用于Rec中心的结果。 单位:I-PCITION:研讨会，ASHRAE交易，1987年，第93卷，pt。1，纽约州纽约市

A significant portion of a building’s unnecessary energy consumption can often be attributed to specific operational events, especially in large institutional buildings with complex energy-consuming sub-systems. Once identified, these events can be tracked automatically with regression techniques and an expert system on a desktop microcomputer using information and observations from daily on-site visits. A prototype methodology has been able to reduce energy consumption for a pilot building by 15%. The building is a university Recreation Center (Rec Center) previously studied by the authors (Haberl and Claridge 1985). The regression techniques, used in the prototype system, are similar to those used by others, for example the Princeton Scorekeeping method (CEES 1986), Balcomb (1980), Leslie (1985) and Palmiter and Hanford (1986). The complete methodology is new because the information from the regression-based, consumption predictor is passed to an expert system that makes suggestions concerning possible causes of abnormal consumption. The expert system uses a knowledge base assembled from the expertise of on-site maintenance personnel, as well as that of the authors gained over the six years the building has been under study. The methodology developed, the Building Energy Analysis CONsultant (BEACON) system (Haberl in progress), has two main components: an energy consumption predictor and an expert system that analyzes abnormal consumption. This paper describes the complete system and its structure and presents results from the application of the methodology to the Rec Center.Units: I-P