Decision Support System

This paper presents the development and implementation of an Energy-based Decision Support System (EDSS) that will enhance the selection process of replacement building features. EDSS includes dynamic databases that utilize data/web mining concepts, Knowledge Base System (KBS) and a thermal simulation engine. The system allows decisions to be made based on a long-term vision incorporating energy cost savings rather than immediate needs. A stand-alone application was implemented based on EDSS.

This paper aims to present the methodology for the development of a Decision Support System (DSS) that takes into account environmental and socioeconomic criteria, focusing on a case study that was carried out in Athens. The experimental campaign that was performed at city, neighbourhood and building scale and its main results are described. In addition, the results of the Communities of Practice that were organised are reported. A short description of the development of an ANN model for heat island prediction is given.