Author(s)

Jian Wu

Corresponding Author

Jian Wu

ABSTRACT

Power load forecasting is very important for power dispatching. Accurate load forecasting is of great significance for saving energy, reducing generating cost and improving social and economic benefits. In order to accurately predict the power load, based on BP neural network theory, combined with the advantages of Clementine in dealing with big data and preventing over fitting, a neural network prediction model for large data is constructed. After the enrollment expansion of colleges and universities in our country, the society also will get higher, to the requirement of employment has also increased as demand for undergraduate course diploma, so there are a lot of people to a graduate diploma and chose the cultural course score lower major to enter oneself for an examination.

KEYWORDS

New media, Course teaching, Network, Subjective initiative