Ai Power Systems Compendium

AI & ML Compendium for Power Systems

An authoritative compendium of Artificial Intelligence (AI) and Machine Learning (ML) resources for the Bulk Power System (BPS) and utility sector.

As a Professional Engineer (PE, Power) and Enterprise Architect, I found it difficult to find a centralized, high-quality list of modern AI/ML resources specific to the power systems domain. This repository is my effort to create that resource.

This list is intended for engineers, data scientists, and leaders working on grid modernization, renewable integration, load forecasting, and predictive maintenance.

Contributions are welcome.

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🧭 Playbooks by Persona

This compendium is designed to serve multiple audiences. Find your role below for a curated starting point.

1. For the PE / Power Systems Engineer

You are focused on reliability, grid modernization, and practical applications. Your playbook focuses on proven open-source tools for simulation and predictive maintenance.

• Start with: Foundational Open Source Projects (especially PyPSA, HELICS)
• Dive deep on: Predictive Maintenance Research
• Explore: Grid Resilience & Digital Twins

2. For the Data Scientist / ML Engineer

You are focused on modeling, forecasting, and data pipelines. Your playbook highlights repositories for time-series analysis and key research papers on ML applications.

• Start with: OpenSTEF (Short-Term Energy Forecasting)
• Explore: PyPSA (Python for Power System Analysis)
• Review: General Applications & Overviews

3. For the AI Architect / CTO

You are focused on strategy, emerging technologies, and architectural design. Your playbook centers on Generative AI, foundation models, and agentic systems.

• Start with: PowerAgent (Agentic AI) & [GridFM (Foundation Models)