VQV Signal
The paper presents a skill-based agentic framework for power-system studies using Model Context Protocol (MCP)-connected engineering tools, including Siemens PTI PSSE functions. Implementations leverage programmable OpenAI Agents SDK and Claude for power-flow analysis, dynamic simulation, and model...
The paper presents a skill-based agentic framework for power-system studies using Model Context Protocol (MCP)-connected engineering tools, including Siemens PTI PSSE functions. Implementations leverage programmable OpenAI Agents SDK and Claude for power-flow analysis, dynamic simulation, and model...
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This paper describes a skill-based agentic framework for power-system studies using Model Context Protocol (MCP)-connected engineering tools. A custom MCP server was developed to expose Siemens PTI PSSE functions for power-flow analysis, dynamic simulation, result extraction, and model-validation workflows. Two...
Integrating AI agents with established power-system tools enables automated, flexible workflows for complex simulations and analyses. This approach can improve efficiency and accuracy in power-system engineering tasks.
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VQV surfaced this signal because it is recent, relevant to AI Agents, connected to arXiv.
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