本文主要讨论了几种预测方法以及在浙江电力市场和中国股票市场的应用 实例。预测方法主要介绍了统计学方法和BP神经网络算法 -This paper discusses several prediction methods, as well as application examples in the Zhejiang electricity market and the Chinese stock market. The prediction method introduces a stat

用时间序列分析中的自适应滤波预测法,建立某市用电量的预测模型 -Using time series analysis of adaptive filtering prediction method, a city electricity consumption forecasting model

利用多因素小波变换和多变量时间序列模型的日前电价预测-Prediction of a day ahead electricity price using multivariate wavelet transform and multivariate time series model