A PROTOTYPE EXPERT-SYSTEM FOR LARGE-SCALE ENERGY AUDITING IN BUILDINGS

PATTERN RECOGNITION

卷:28

Article; Proceedings Paper

CAUDANA, B ; CONTI, F ; HELCKE, G ; PAGANI, R

关键词: ENERGY AUDIT;    ENERGY SAVINGS IN BUILDINGS;    ARTIFICIAL INTELLIGENCE;    NEURAL NETWORK;   

DOI  :  10.1016/0031-3203(94)00151-B

来源: Elsevier

【 摘 要 】

A brief discussion is presented of the increasingly important role being played by informatic techniques in the building sector. Computer aided design packages for the architect have existed for some time, but other types of software are also needed now. The profusion and complexity of norms and standards, together with the large number of technical solutions available, make it very difficult to master all the knowledge required for building design and retrofit without informatic help. This is particularly true in building energy auditing, which is an essential prelude to the retrofitting of older buildings. To illustrate the way ahead, an expert system being developed by the Joint Research Centre is described. This system, known as BEAMES, employs a neural network allowing the system to ''learn'' from the experience of past audits.

【 授权许可】

Free