Applications of slow intelligence frameworks for energy-saving control

The largest energy consumption, particularly electricity use, for residential users and service industry is attributed to air-conditioning systems. Although novel design can yield energy-efficient air-conditioning systems, there is still room for reducing energy consumption by the control of their operation, especially for those already installed. This study presents a slow intelligence framework for energy-saving control of air-conditioners without affecting users' thermal comfort. The implementation of the proposed approach to a smart space, and the architecture used to integrate the SIS server into the gateway as an embedded system, are also described.