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发明公开
CN106327009A 空间负荷预测中确定元胞负荷最大值的主成分分析法 无效 - 驳回

空间负荷预测中确定元胞负荷最大值的主成分分析法
摘要：
本发明公开了一种空间负荷预测中确定元胞负荷最大值的主成分分析法，1）在电力地理信息系统中生成元胞；2）进行元胞负荷的主成分分析；3）通过主成分分析反演对主成分分量和非主成分分量进行处理，剔除随机波动；4）将主成分分量经主成分分析反演后所得数据中的最大值作为元胞负荷最大值。本发明通过主成分分析反演技术剔除非主成分分量，来抑制随机波动对预测结果精度带来的不利影响，尽量避免随机波动影响到负荷发展的总体趋势，提取表征元胞负荷总体信息的主成分分量的最大幅值作为元胞负荷合理最大值，具有方法科学、合理，简单、实用等优点。
摘要（英）：

The invention discloses a main constituent analysis method for determining a cell load maximum value in space load prediction. The main constituent analysis method for determining the cell load maximum value in the space load prediction comprises steps of 1, generating cells in a power geography information system, 2 performing main constituent analysis on the cell load, 3, performing processing on a main constituent component and a non-main-constituent component through main constituent component analysis inversion to remove random fluctuation, and 4 using a maximum value of the data which is obtained through performing the main constituent analysis inversion on the main constituent component as a cell load maximum value. The main constituent analysis method removes the non-main-constituent components through the main constituent analysis inversion technology, inhibits the unfavorable influence on accuracy of a prediction result by random fluctuation, avoids the fact that the random fluctuation affects total trend of load development, extracts a maximum amplitude characterizing the main constituent component of the cell load overall information as a reasonable value of the cell load and is scientific, reasonable, simple and practical.

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