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Andrea-Pomarico/README.md

Hi there, I’m Andrea Pomarico 👋

I’m Andrea, a PhD researcher in Electrical Engineering at Politecnico di Milano, working at the intersection of power systems, artificial intelligence, and data-driven control. My research focuses on building scalable computational tools for large-scale energy systems, with particular interest in physics-informed machine learning, dynamic security assessment, and AI automation for power grid analysis.

Over the years, I’ve worked across academia and industry, collaborating with institutions such as Politecnico di Milano, Terna (Italian TSO), the University of Washington, and Forschungszentrum Jülich (Jülich research center). These experiences have allowed me to combine theoretical research with practical applications in modern power systems, from real-time stability assessment to digital twins and intelligent control frameworks.

🔬 Research Interests

  • Power Systems Stability and Control
  • Physics-Informed Machine Learning
  • AI for Scientific Computing
  • Data-Driven Control & Optimization
  • Energy Systems Automation

📬 Contact

andrea.pomarico@polimi.it

pomarico.andrea99@gmail.com

🤝 Connect with me

Pinned Loading

  1. Power-Agent/PowerMCP Power-Agent/PowerMCP Public

    PowerMCP is an open-source collection of MCP servers for power system software like PowerWorld, PSSE and OpenDSS. These tools enable LLMs to directly interact with power system applications, facili…

    Python 232 66

  2. Power-Agent/PowerAgentBench Power-Agent/PowerAgentBench Public

    PowerAgentBench is a benchmark for evaluating power-system agents on complex, multi-step operational tasks. It provides standardized tasks, environments, and metrics to support fair, reproducible c…

    Python 49 9

  3. SINDy-SENDAI SINDy-SENDAI Public

    This repository implements a data-driven discovery of multiscale power system oscillation governing equations using SINDy-SENDAI

    Jupyter Notebook

  4. SHRED_PowerGridsDSE SHRED_PowerGridsDSE Public

    This repository provides an implementation of the SHallow REcurrent Decoder (SHRED) for dynamic state estimation in power systems.

    Jupyter Notebook 2

  5. Multi_Agent_AI_DSA_Power_Systems Multi_Agent_AI_DSA_Power_Systems Public

    This repository implements a multi-agent AI pipeline for autonomous power system stability analysis in DIgSILENT PowerFactory.

    Python 23 10