Enhanced ELITE-Load: A Novel CMPSOATT Methodology Constructing Short-Term Load Forecasting Model for Industrial Applications.

This article presents a two-layer hybrid neural network framework, termed enhanced ELITE (E-ELITE), for short-term load forecasting (STLF) with high-performance forecasting capability and accuracy. The design of the E-ELITE is based on a novel three-stage methodology that is composed of Stage I: optimal structure, Stage II: highly accurate and diverse members of neural network, and Stage III: a ne...