摘要
针对电价受多种因素影响很难用精确的数学模型预测,基于电力市场电价预测的特点,论述了神经网络的基本原理,比较了电价预测中的几种神经网络方法,并分析了神经网络的优化法,指出应用中ANN输入量及影响电价因素还有待深入研究。
For electricity price affected by many factors,it is difficult to set up an accurate mathematical forecast model.Based on the characteristics of price forecasting in electricity market,this paper introduces the basic principles of neural networks.The merits and faults of several ANN methods used in electricity price forecasting are compared.The method of optimizing ANN is analyzed.It also points out that the input of ANN and factors affecting price need to be studied intensively when using ANN to forecast e...
出处
《水电能源科学》
北大核心
2010年第6期153-156,共4页
Water Resources and Power
关键词
电力市场
电价预测
神经网络
网络优化
预测模型
electric power market
price forecasting
artificial neural network
network optimization
forecasting model
