Market Price Forecasting Based on Dynamic Fuzzy System
Sun Guo · Journal of North China Institute of Water Conservancy and Hydroelectric Power · 2004
A new model is presented to forecast market price, which is based on Dynamic Fuzzy System. The Genetic Algorithms (GAs) is used to train the model. The GA uses binary coding scheme, and the length of chromosome is variable. At last, the model is tested with the actual data in power market and the test results are satisfactory.