A Data-Driven, Survey-Based Bottom-Up Load Modeling and Optimization Framework for Hybrid Renewable Energy Systems in Standalone Microgrids
The precise configuration of standalone hybrid renewable microgrid systems in remote regions is frequently obstructed by a critical lack of historical consumption data. This paper introduces a mathematically rigorous, data-driven framework that bridges this "information gap" by merging bottom-up, appliance-level load...