Long Term Load Forecasting and Recommendations for China Based on Support Vector Regression
作者： Zhiheng Zhang , Shijie Ye
关键词:
摘要: Long-term load forecasting (LTLF) is a challenging task because of the complex relationships between and factors affecting load. However, it crucial for economic growth fast developing countries like China as rate gross domestic product (GDP) expected to be 7.5%, according China’s 11th Five-Year Plan (2006-2010). In this paper, LTLF with an factor, GDP, implemented. A support vector regression (SVR) applied training algorithm obtain nonlinear relationship factor GDP improve accuracy forecasting.
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