【摘要】 本文针对电力负荷预报系统中传统方法在普适性方面的不足， 提出了一种基于多分辨率遗传算法的神经网络方法， 并将其应用在短期电力负荷预报系统中。运行结果表明， 该预报方法具有预报精度高、训练速度快、鲁棒性和适应性强等特点， 使系统具有较强的通用性更多还原

【Abstract】 Aimed at the drawbacks of low adaptability of the conventional methods in electric load forecasting systems, this paper proposed a multi resolution GA based artificial neural network and applied it in short term electric load forecasting system. The practice showed the method has the superiority of high forecasting accuracy, fast training speed, satisfied robustness and fitness, which makes the system has high adaptability.更多还原