Title :
A new short-term load forecasting model of smart distribution grid
Author :
Yan-mei, Li ; Jing-min, Wang
Author_Institution :
School of Business and Administration, North China Electric Power University, P.R. China, 071003
Abstract :
Applying the improved gene expression programming arithmetic to optimization plan, the convergence rate and precision of the model can be improved, which can be used to load forecasting. Preprocessing the load sample data, and applying the flexible skills of the improved gene expression programming arithmetic, the paper forecasts the whole point load of future short-term to see the same point load sequence of different work-day as sample. Through a case analysis, the improved gene expression programming arithmetic has been proved to have more efficiency and faster convergence rate than optimization methods.
Keywords :
Data models; Educational institutions; Indexes; Investments; Personnel; Research and development; Technological innovation; gene expression programming; short-term load forecasting; smart grid;
Conference_Titel :
Management Science and Engineering (ICMSE), 2011 International Conference on
Conference_Location :
Rome
Print_ISBN :
978-1-4577-1885-4
DOI :
10.1109/ICMSE.2011.6070087