基于智能技术的短期负荷预测研究

电力系统负荷预测是电力研究的一个重要组成部分，随着电力智能化的加快发展，为电力负荷预测提供了更准确有效的方法。目前有多种电力负荷预测方法，但由于预测模型适用条件的限制，使得负荷预测存在困难。因此，本文选择了基于统计理论的支持向量回归方法来进行预测。文中结合贵州某经济开发区短期电力负荷的历史数据，应用支持向量回归法对该负荷进行了预测，得到了精度较高的预测结果。

Based on Intelligent Technology of Short-Term Load Prediction Research

Load forecasting power research is an important part of Electric power system, with the intelligent speed up development, for power load forecasting provides a more accurate and effective method. There are various power load forecasting method, but because the prediction model applicable condition, the limit that load forecasting are difficult. Thus, in this paper, based on the theory of choice statistics support vector regression method to forecast. a short-term economic development zone in guizhou power load of historical data, the application of the support vector regression method to forecast the load, and the precision of prediction results.