Chee-Wei Tan

Short-Term Load Forecasting for Microgrid Energy Management Using Variational Mode Decomposition and Adaptive Neuro-Fuzzy Inference System

With the increasing penetration of Renewable Energy Resources (RESs) in Microgrids (MGs), accurate short-term load forecasting plays a vital role in energy management and operational planning. However, the non-stationary and highly variable characteristics of load time series pose significant challenges to forecasting...