Electric Power Industry Dictionary for AI Applications

Utility staff spend hours each week routinely reviewing corrective action, maintenance, and operational reports. What if we could create an artificial intelligence model that could review and understand a report that typically takes a human 10-15 minutes to read in just half a second? It would save considerable time, money and improve operations for plant staff and grid operators around the world. But building an AI solution for this task is an intricate and time-consuming process due to complex industry jargon and unique component and system names that are different from traditional word usage. The first step to begin creating an electric power industry dictionary to use with natural language processing (NLP) is to build and evaluate a smaller-scale proof of concept to evaluate its functionality for a subset of technical terms and phrases that will not be correctly interpreted by a traditional NLP tool using a standard off-the-shelf dictionary.