Researchers have developed a framework for monitoring battery energy storage systems in power distribution networks using large language models. The system connects a language model interface with a database of operational telemetry data from the BESS and translates operator questions into validated SQL queries. This allows grid operators to evaluate measurements against engineering constraints, such as voltage limits and demand response tracking. The framework was tested on simulated data from a real-world distribution feeder and showed that it can identify issues like repeated voltage violations and reactive power overshoot. --- Why it matters: This matters because it shows how AI can be used to make grid operations more efficient by automating the analysis of complex telemetry data, allowing operators to focus on higher-level decisions. The framework's ability to translate natural language queries into valid database queries also makes it easier for non-technical personnel to access and understand the data. Source: https://arxiv.org/abs/2608.15396