CIRLEM : a synergic integration of Collective Intelligence and Reinforcement Learning in Energy Management for enhanced climate resilience and lightweight computation
A novel energy management (EM) approach is introduced, integrating core elements of collective intelligence (CI) and reinforcement learning (RL) and called CIRLEM. It operates by distributing a flexibility signal from the energy supplier to agents within the grid, prompting their responsive actions. The flexibility signal reflects upon the collective behaviour of the agents in the grid and agents