Deep Reinforcement Learning for Artificial Intelligence - Infocast

Deep Reinforcement Learning is a branch of Artificial Intelligence that allows machines to learn control and to take actions. Asset Management and Optimization are the natural application of DRL due to its ability to capture complex dependencies and choose optimal actions in real time. Our current energy transition to distributed generation drastically increases the number of actions available, with the optimal action changing throughout the day. Resolving the Operator's Dilemma in the environment with a lot of volatile variables (such as electricity price and energy consumption) is hard. The deterministic set of rules and abstract models used today to guide operations can account for such changes, but they cannot guarantee optimal performance.