Power Law Distribution in Electric Power Data
The explorative analysis plays an important role in the process of data mining. The non-normally distributed data in the electric power data was analyzed. Firstly,the distribution law of generated energy, electricity sales and electricity consumption with statistical methods across the province with...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2013-11-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.3969／j.issn.1000-0801.2013.11.019/ |
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| _version_ | 1841529252894212096 |
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| author | Guannan Wang Chunyu Deng Yue Zhao Yaqin Zheng |
| author_facet | Guannan Wang Chunyu Deng Yue Zhao Yaqin Zheng |
| author_sort | Guannan Wang |
| collection | DOAJ |
| description | The explorative analysis plays an important role in the process of data mining. The non-normally distributed data in the electric power data was analyzed. Firstly,the distribution law of generated energy, electricity sales and electricity consumption with statistical methods across the province within the business area of SGCC were analyzed, and it was found that these indices were not normally distributed but follow the power law distribution. Then the electricity consumption of subdivided trade follows the log-normal distribution was proved. At last, the reasons that these data are not normally distributed were given. |
| format | Article |
| id | doaj-art-49b2fdf16d524ce489262d97b88629a7 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2013-11-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-49b2fdf16d524ce489262d97b88629a72025-01-15T03:21:19ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012013-11-012910911459625500Power Law Distribution in Electric Power DataGuannan WangChunyu DengYue ZhaoYaqin ZhengThe explorative analysis plays an important role in the process of data mining. The non-normally distributed data in the electric power data was analyzed. Firstly,the distribution law of generated energy, electricity sales and electricity consumption with statistical methods across the province within the business area of SGCC were analyzed, and it was found that these indices were not normally distributed but follow the power law distribution. Then the electricity consumption of subdivided trade follows the log-normal distribution was proved. At last, the reasons that these data are not normally distributed were given.http://www.telecomsci.com/zh/article/doi/10.3969／j.issn.1000-0801.2013.11.019/indices of electricitypower law distributionlog-normal distribution |
| spellingShingle | Guannan Wang Chunyu Deng Yue Zhao Yaqin Zheng Power Law Distribution in Electric Power Data Dianxin kexue indices of electricity power law distribution log-normal distribution |
| title | Power Law Distribution in Electric Power Data |
| title_full | Power Law Distribution in Electric Power Data |
| title_fullStr | Power Law Distribution in Electric Power Data |
| title_full_unstemmed | Power Law Distribution in Electric Power Data |
| title_short | Power Law Distribution in Electric Power Data |
| title_sort | power law distribution in electric power data |
| topic | indices of electricity power law distribution log-normal distribution |
| url | http://www.telecomsci.com/zh/article/doi/10.3969／j.issn.1000-0801.2013.11.019/ |
| work_keys_str_mv | AT guannanwang powerlawdistributioninelectricpowerdata AT chunyudeng powerlawdistributioninelectricpowerdata AT yuezhao powerlawdistributioninelectricpowerdata AT yaqinzheng powerlawdistributioninelectricpowerdata |