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Long Term Load Forecasting and Recommendations for China Based on Support Vector Regression
2012
Energy and Power Engineering
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Long-term load forecasting (LTLF) is a challenging task because of the complex relationships between load and factors affecting load. However, it is crucial for the economic growth of fast developing countries like China as the growth rate of gross domestic product (GDP) is expected to be 7.5%, according to China's 11th Five-Year Plan (2006-2010. In this paper, LTLF with an economic factor, GDP, is implemented. A support vector regression (SVR) is applied as the training algorithm to obtain the
doi:10.4236/epe.2012.45050
fatcat:2yjaad746na6lif6qjks4kkqgu