Abstract: Modern manufacturers often require handling multiple tasks simultaneously under dynamic environments by sharing constrained machines. Existing multitask scheduling algorithms typically focus ...
Abstract: For dynamic task scheduling problems in cloud computing environments, we propose a deep reinforcement learning algorithm based on graph neural networks (GNN-PPO) that enables real-time ...
In the event of an upstream grid fault, the Active Distribution Network (ADN) can switch to autonomous operation, coordinating controllable Distributed Generators (DGs) and Energy Storage Systems (ESS ...
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