摘要
提出了一种ANN与模糊控制（FC）相结合的电力负荷短期预测方法。通过优化训练样本、变步长和变动量因子来改进BP算法，并采用在线自调整因子的模糊控制对预测误差进行在线智能修正。算例计算表明ANN与模糊控制相结合提高了预测精度。
This paper proposes a short-term load forecasting method based on combination of ANN and fuzzy control.Improved BP algorithm is obtained by optimizing training samples, varying step and factor. In order to eliminate forecast error. on-line self-tuning fuzzy control is used. Simulation results demonstrate that the proposed method improves the forecast precision.
出处
《电力系统自动化》
EI
CSCD
北大核心
1999年第22期37-39,共3页
Automation of Electric Power Systems
