AI Enabled Power Sector Regulatory Assistant

Electricity regulatory filings and orders run into thousands of pages, full of financial data, legal references, and performance parameters. Discoms spend months preparing ARR (Annual Revenue Requirement) and True-Up Petitions, often repeating manual work. Regulators (SERCs/CERC) must review multiple years’ petitions, past orders, and policy directives to draft new tariff orders. This is a complex and time-consuming process. Valuable insights remain buried in unstructured text and tables spread across hundreds of regulatory documents. This creates inefficiency, inconsistency, and delays in decision-making. The use case (details in the attached resource) intends to build an Open-Source Large Language Model (LLM)-based Regulatory Assistant that acts as a virtual co-pilot for both Discoms and Regulators, helping them navigate the complex regulatory and financial landscape of the electricity sector. Please refer to the attached external resource for more information.