Short-term load forecasting method based on support vector machine for micro-grid system

[0024] In order to enable those skilled in the art to better understand the technical solution of the present invention, its specific implementation will be described in detail below in conjunction with the accompanying drawings:

[0025] see figure 2 , the preferred embodiment of the present invention, a short-term load forecasting method based on a support vector machine for a microgrid system, comprising the following steps:

[0026] S1, the selection steps of sample features:

[0027] Power system short-term load forecasting is a multivariate forecasting problem, which can be regarded as a functional regression problem. The predicted load value y is the output value of the function, and the corresponding factors that affect the load such as historical load sequence, time factor and temperature factor are used as the input vector x of the function, and each component of the training data is the SVM (Support Vector Machine, support vector The input vector of the feature q...