Auto tuning for new energy dispatch problem: A case study
We propose a real-size rolling model to predict the Unit Commitment scheduling. We formulate the model to maximize new energy generation. We implement an auto-tuning solver CMIP for our model. We use auto-tuning techniques to optimize presolving, primal heuristics, etc. We compare the performance of other solvers and our auto-tuning solver.
auto tuning new energy dispatch problem presolver mixed-integer programming heuristics method