Research and Application of Data Mining and NARX Neural Networks in Load Forecasting

Download Now
Provided by: Science & Engineering Research Support soCiety (SERSC)
Topic: Big Data
Format: PDF
The relationship between med-long term load forecasting and socio-economic indicators is very difficult to describe with an accurate mathematical model. The paper introduce data mining technology into the association analysis of China's electricity consumption growth, select many socio-economic indicators since 2000, constitute the relevant factors database, complement of a few missing data, and dig out a number of indicators closely related to the electricity consumption with cluster analysis, and the data of distortion indicators is corrected, thus, build a more scientific load forecasting model.
Download Now

Find By Topic