Mid-long term load forecasting in power system by genetic programming
Guanghu Xu · Relay · 2004
Genetic programming(GP) is introduced to solve mid-long term load forecasting. Forecasting models are taken as the individuals of GP, which searches the optimal forecasting model by reproduction, mutation and crossover according to the rule of good kept and bad eliminated. It can create automatically load forecasting model including the function form and the numerical coefficients. To realize the model, Read linear code is used to code genetic individually. The tree-like individuals are replaced by decimal codes and the genetic operation is implemented by the operation of the linear code, which improve the computing efficiency. The results of annual forecasting of electric power for some region and comparison with the convential regression model show that GP model can improve forecasting precision obviously.