SAIEN Blog

Why Small Language Models (SLMs) and Physics-Informed Neural Networks (PINNs) Are the Right Foundation for AI in Electricity Systems Executive Summary Electric power systems are among the most critical and safety-sensitive infrastructures in modern society. While Artificial Intelligence (AI) adoption is accelerating across industries, electric utilities must approach AI differently from consumer or enterprise technology sectors. This blog argues that Small Language Models (S

1. Introduction: When Energy Storage Turns Dangerous Have you ever imagined that if a BESS (Battery Energy Storage System) is charged at the wrong time, or switched on/off at uncontrolled intervals, it can become a ticking time bomb?A single mismanaged BESS can cause a blackout — and a cluster of them can destabilize the entire grid. Even worse, if a hacker gains access to BESS switching control, the consequences can be disastrous. A sudden transient of even 10 MW is enough t

AI in Electrical Utilities: Why Domain Expertise Still Rules the Game Let’s get one thing straight — AI is like a child . It can learn incredibly fast, but only if you give it curated, meaningful data  and the right guidance . Without that, it’s just guessing. And who provides that guidance? Not just data scientists — but domain experts  who actually understand what the data means. Why Domain Knowledge Matters Can you tell an IT person to write an algorithm to estimate the fa

As solar power continues to expand rapidly, one of the biggest challenges utilities face is balancing energy generation and consumption  throughout the day. During peak sunlight hours, solar generation often exceeds grid demand , forcing operators to curtail production or divert surplus energy into Battery Energy Storage Systems (BESS)  or pumped hydro storage . While these storage options help, they also involve significant infrastructure costs and energy losses during conve

🌐 Geospatial Intelligence Changes Everything In the rapidly evolving world of power distribution, the ability to see  what’s happening across your network — and where  it’s happening — is becoming essential. Traditional dashboards filled with line charts, bar graphs, and static tables  can tell you that something is wrong, but they often fail to tell you where  and why . Utilities manage thousands of interconnected assets — transformers, meters, feeders, RMUs, cables, and co