|
|
|
| Integrated Natural Growth and Growth in the Transition Region Study on Town Load Prediction |
| Gu Tiantian |
| State Grid Tongxiang Power Supply Company, Tongxiang, Anhui 314500 |
|
|
|
|
Abstract Load forecast for power network planning based on basis for various types of electrical items such as technological overhaul. With the development of technology, load forecasting method based on large areas can be described as a wide range of mature, but the scale of the district town load prediction is hard to achieve at the level of good reference value. This major is a small district town, high degree of uncertainty in predicting the results of sensitive. Aiming at the district town of the load characteristics of proposed to divide the district town of loads for natural growth, and growth in part to the transition, two different models were used to predict and then integrated. Results showed that the construction method is effective in the paper, it opens up a new world for small regional load forecast.
|
|
Published: 09 December 2015
|
|
|
|
| Cite this article: |
|
Gu Tiantian. Integrated Natural Growth and Growth in the Transition Region Study on Town Load Prediction[J]. Electrical Engineering, 2015, 16(12): 91-93.
|
|
|
|
| URL: |
|
http://dqjs.cesmedia.cn/EN/Y2015/V16/I12/91
|
[1] 宋晓茹, 李莉, 张来青. 中长期电力负荷预测研究[J]. 计算机仿真, 2014, 31(9): 132-135.
[2] 王秀娟. 浅谈昌吉地区电网负荷预测[J]. 新疆电力技术, 2014, 42(3): 15-18.
[3] 赵玉林, 高英. 农村电力系统负荷预测的研究——基于Excel回归模型[J]. 农机化研究, 2014, 36(2): 226-228, 244.
[4] 吴桂峰, 王轩, 陈东雷. 基于优化神经网络的短期电力负荷预测[J]. 计算机仿真, 2013, 30(11): 95-99, 111. |
|
|
|
2015, Vol. 16 
