Chance-constrained programming is a type of optimization technique that incorporates uncertainty by allowing for constraints to be satisfied with a certain probability. This approach is particularly useful in decision-making processes where there are unpredictable elements, such as energy demand and renewable energy generation. By framing constraints probabilistically, it ensures that solutions are feasible most of the time, thus making it well-suited for applications like optimizing microgrid operations and energy management.
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