说明：  包括最小二乘法、SVM、神经网络、1_k近邻法,包括主成分分析、因子分析、贝叶斯分析，有较好的参考价值，具有丰富的参数选项,阐述了负荷预测的应用研究,详细画出了时域和频域的相关图，预报误差法参数辨识-松弛的思想。
( Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Including principal component analysis, factor analysis, Bayesian analysis, There are good reference value, It has a wealth of parameter options, It describes the application of load forecasting, Correlation diagram shown in detail the time domain and frequency domain, Prediction Error Method for Parameter Identification- the idea of relaxation.)