Local Grey Predictor Based on Cubic Polynomial Realization for Market Clearing Price Prediction

With the development of restructured power markets, profit-making competitive business environment has emerged. help different advanced technologies, generating companies are taking decisions regarding trading electricity with imperfect information about marketing operating conditions. The forecasting market clearing price (MCP) is a potential issue in these markets. Early on MCP can be proven beneficial tool for accumulating profit. In this work, local grey prediction model based cubic polynomial function presented to estimate historical data. mathematical framework was established and evaluated conditions databases. comparison between traditional models some reveals that proposed yields accurate results.