A Novel Framework Short-Term Load Forecasting for Micro-grid Energy Management System

Short-term Electricity Load forecasting (STLF) is one of the most important technologies for Energy Management System (EMS) in various aspects, such as peak-load shaving application, demand response, or net-zero energy technology. This paper presented a novel Short-term Electricity Load forecasting (STLF) framework with four strategies-a Variable selection of input parameters processing method, Modified Time Series - Exponential Smoothing model, Peak-load, and Temperature correction factors. The testing results showed that the proposed framework of forecasting indeed improves the accuracy of day-ahead STLF, especially on the cases with limited historical information and data loss conditions.