南方电网技术2011，Vol.5Issue(z2)：80-85,6.
基于智能技术的短期负荷预测研究
Based on Intelligent Technology of Short-Term Load Prediction Research
殷子皓 1何宁1
作者信息
- 1. 贵州电网公司贵阳供电局,贵阳550009
- 折叠
摘要
Abstract
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.关键词
电力系统/短期负荷预测/支持向量机Key words
Power system/Short-term load forecasting/Support vector machine分类
信息技术与安全科学引用本文复制引用
殷子皓,何宁..基于智能技术的短期负荷预测研究[J].南方电网技术,2011,5(z2):80-85,6.
