Empowering energy flexibility and climate resilience using collective intelligence based demand side management (CI-DSM)

Abstract This work investigates the effectiveness of Collective intelligence (CI) in demand side management (DSM) urban areas to cope with extreme climate events. CI is a form distributed that emerges collaborative problem solving and decision making. It used simulation platform control energy performance buildings an area Stockholm, through developing CI-DSM setting certain adaptation measures, including phase shifting HVAC systems building appliances. developed based on simple communication strategy among buildings, using forward (1) backward (0) signals, corresponding applying disapplying measures. The simulated for three scenarios representing typical, cold warm years Stockholm. According results, increases autonomy agility system responding shocks without need computationally extensive central making systems. helps gradually effectively decrease absorb shock during