| 基于云计算的用户侧短期用电负荷预测技术 |
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| 引用本文： | 周国亮,王桂兰,葛佳,刘治安,孙玉宝. 基于云计算的用户侧短期用电负荷预测技术[J]. 电力信息化, 2012, 0(3): 111-114 |
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| 作者姓名： | 周国亮 王桂兰 葛佳 刘治安 孙玉宝 |
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| 作者单位： | 保定电力职业技术学院信息工程与管理系;华北电力大学网络与管理中心 |
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| 基金项目： | 河北省高等学校科学研究项目“实时联机分析处理技术研究”(Z2011306)支持 |
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| 摘 要： | 随着智能电网的发展,电网与用户之间的交互行为将显著增长。通过与用户的广泛交互,原来不能获取的信息,现在变得触手可得,这必将为智能电网发展提供更多的机遇。探讨了在智能电网环境下,通过云计算技术帮助海量用户预测短期电力负荷,从而通过利用群体智慧提高电网公司短期用电负荷预测的准确性。该方法有效利用了Map/Reduce技术,具有较高的效率和可扩展性。
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| 关 键 词： | 云计算 智能电网 短期负荷预测 群体智慧 |
Cloud Computing Based Customer Side Short-term Load Prediction Technology |
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| ZHOU Guo-liang,WANG Gui-lan,GE Jia,LIU Zhi-an,SUN Yu-bao. Cloud Computing Based Customer Side Short-term Load Prediction Technology[J]. Electric Power Information Technology, 2012, 0(3): 111-114 |
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| Authors: | ZHOU Guo-liang WANG Gui-lan GE Jia LIU Zhi-an SUN Yu-bao |
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| Affiliation: | 1 (1.Baoding Technical and Vocational College of Electric Power, Baoding 071051, China; 2. North China Electric Power University, Baoding 071000, China) |
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| Abstract: | With the development of smart grid, interactions between power grid and users are increasing significantly. It is helpful to obtain much important information and provide more opportunities for the development of smart grid. This paper studies the short-term load prediction technology based on the cloud computing technology for smart grid, which uses the swarm intelligence to improve the accuracy of the short-term load prediction. Moreover, the proposed method also uses the Map/Reduce technology and obtains high efficiency and scalability. |
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| Keywords: | cloud computing smart grid short-term load prediction swarm intelligence |
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