Application Research on Data Mining and Artificial Intelligence Theory in Short-Term Power Load Forecasting

Abstract

Data mining technology provides an effective research tool for us to process uncertain, noisy and implicit information. Rough set theory, as a kind of typical data mining algorithm, provides an effective tool for research on analysis and induction of inaccurate data, mining relations among data and discovering potential knowledge. The paper will establish a short-term load prediction model based on rough set theory. It utilizes rough to carry out attribute reduction for various historical data related to load, gets rid of those irrelative attribute to decision information and simplifies input variable so as to shorten the search space of neural network and improve the prediction performance.