【摘要】 该文依据可加性模糊系统理论,提出了一种新的负荷预测方法,利用聚类方法与有监督学习相结合的训练方法,提高了系统的函数逼近能力。仿真结果表明,系统学习速度快、预测精度高,在短期负荷预测中获得相当满意的结果。更多还原

【Abstract】 According to the additive fuzzy system theory, a new load forecasting method is proposed in which using the the learning method combined clustering algorithm with supervised learning the function approximation of the system is improved. Simulation results show that the learning algorithm of this system can be quickly converged and with this system the short-term load forecasting is satisfied.更多还原