We consider a novel use of mostly-correct reactive policies. In classical planning, reactive policy learning approaches could find good policies from solved trajectories of small problems and such policies have been successfully applied to larger problems of the target domains. Often, due to the inductive nature, the learned reactive policies are mostly correct but commit errors on some portion...

in this paper, first, a new criterion, titled “surplus percent of the customers” is defined for static transmission expansion planning in restructured power systems. then by a simple example, the new criterion is compared with some already presented market-based criteria and it is shown that the new criterion can realistically evaluate the transmission network expansion from the market view. in...

this paper develops a model for distribution network expansion planning (dnep) considering reliability issues. with simultaneous switch placement and dnep, the proposed model tries to adequately consider the reliability issues in the planning stage in a way that the designed network has suitable performance from the reliability viewpoint. the reinforcement or installation of mv feeders and hv/m...