建筑物中大量的能源浪费可归因于日常操作和维护实践。使用统计预测和专家系统的一项新技术已经证明了减少此类浪费的显著能力。一所大学的经验表明，专家系统通过监测、分析和使用诊断日常常见问题的规则库，使建筑物保持高效运行，从而有助于节能。除了专家系统，还有一个- 为协助项目的实施，开发了面向团队的方法。充分开发的方法自动识别、跟踪并与行动团队一起纠正浪费的操作和维护程序。这种方法基于为大学生娱乐中心开发的原型（Haberl和Claridge 1987）。校园建筑的平均回报不到两年。本文介绍了应用的结果、自上一篇论文（Haberl和Claridge 1987）以来该方法的改进，以及未来发展的指南。 单位:双引文:研讨会，ASHRAE交易，1988年，第94卷，pt。德克萨斯州达拉斯1号

Significant amounts of energy waste in buildings can be attributed to everyday operational and maintenance practices. A new technique, using statistical forecasting and expert systems, has demonstrated a significant ability to reduce such waste. Experience at a university shows that the expert system contributes to energy savings by keeping a building at efficient levels of operation through monitoring, analysis, and use of a rule base that diagnoses commonly occuring day-to-day problems.In addition to the expert systems, an action-oriented team approach has been developed to assist with the implementation of the program. The fully developed approach automatically identifies, tracks, and, together with the action team, corrects wasteful operational and maintenance procedures. This approach is based on a prototype that was developed for a university student recreation center (Haberl and Claridge 1987). Average paybacks for the campus buildings are less than two years.The results from the applications, refinements in the approach since the previous paper (Haberl and Claridge 1987), and guidelines for future development are presented in this paper.Units: Dual