Learning to Solve Receding Horizon MINLP With Guaranteed Hard Constraints Using Neural Networks
This letter proposes a learning method for real-time solution of receding-horizon mixed-integer nonlinear programs (RH MINLPs) in dynamic energy supply systems. Conventional MINLP solvers incur high computational costs. Although machine learning (ML) approximations can reduce the cost, existing approaches struggle to s...