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Found 2 papers, 1 papers with code
Application of deep and reinforcement learning to boundary control problems
The boundary control problem is a non-convex optimization and control problem in many scientific domains, including fluid mechanics, structural engineering, and heat transfer optimization.
AI Driven Near Real-time Locational Marginal Pricing Method: A Feasibility and Robustness Study
This study evaluates the performance of popular machine learning and deep learning models in predicting LMP on multiple electricity grids.
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