Abstract: The nonlinear nature of the power system load introduces variability in the operation of the power system. These loads need to be modelled and handled accurately to get a close insight into ...
Abstract: This paper investigates optimal tracking control of linear stochastic systems with multiplicative state-dependent and input-dependent noise via a novel model-free integral reinforcement ...
Clear prompts help machine learning models become more accurate and reliable. Role-specific prompts generate focused and practical technical answers. Detailed context in prompts leads to better, more ...
The Red Hat Ansible Certified Collection for NetBox enables networking teams to leverage NetBox as the dynamic inventory for Ansible Automation Platform automation jobs. Learn how this workflow not ...
This review explores the recent advancements in enhancing Computational Fluid Dynamics (CFD) through Machine Learning (ML). The literature is systematically classified into three primary categories: ...
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