Adaboost-Based Power System Load Forecasting

This study presented a penetrating insight into the basic principle of ensemble learning and the ensemble technique Boosting, and deduced the theoretical model and learning principle of the adaptive ensemble learning. Besides, it proposed a Adaboost-based power system load forecasting method, and validated the effectiveness of this method through the empirical forecasting of a provincial medium and long-term load. The calculation example in this paper proves that high-accuracy of medium and long-term load forecasting can be achieved by using Adaboost-based power system load forecasting method.