We employ three deep reinforcement learning (DRL) agents based on a deep Q network (DQN), one for each objective. However, this is a more challenging scenario because there is a trade-off among these ...

Developments were made to the basic Tabu Search to adapt it to the optimisation problem. This paper explains the contribution ...

The results are really astonishing. Tests show that offices save up to 37% on their energy bills with AI-optimized and ...