Decision-making in an energy system: a knowledge-based solution

The present work is about a solution implementing a decision-making system in the management of production of a hydroelectric network. An object-oriented rule-based architecture is proposed to ensure an intelligent and automatic management of the knowledge in use in this daily decisional process. An alternate planner-based solution is also discussed. On the other hand and for improving the forecast of natural contributions flow, we described how we exploit machine-learning techniques, including artificial neural networks.