| 基于内存计算的电力负荷预测 |
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| 引用本文： | 杨栋枢,张明明,石磊.基于内存计算的电力负荷预测[J].计算机系统应用,2016,25(7):203-207. |
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| 作者姓名： | 杨栋枢 张明明 石磊 |
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| 作者单位： | 国网信息通信产业集团 安徽继远软件有限公司, 合肥 230088,国网江苏省电力公司 信息通信分公司, 南京 210000,国网信息通信产业集团 安徽继远软件有限公司, 合肥 230088 |
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| 摘 要： | 内存计算技术的提出和发展，是基于实际情况的需求.对诸多行业来说，其在数据处理方面存在各种各样的问题及困难，诸如数据处理量极大、数据处理效率偏低、处理速度慢等，电力行业的负荷预测也遇到阻碍，要对大批量的数据实时分析做出预测成为一大难题，本文就以基于内存计算，结合BP神经网络预测模型，研究负荷预测中的问题，实验证明比传统方法有质的提升.
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| 关 键 词： | 内存计算 电力负荷 预测 BP神经网络 大数据 |
| 收稿时间： | 2015/11/5 0:00:00 |
| 修稿时间： | 2016/1/27 0:00:00 |
Power Load Forecasting Based on Memory Computing |
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| YANG Dong-Shu,ZHANG Ming-Ming and SHI Lei.Power Load Forecasting Based on Memory Computing[J].Computer Systems& Applications,2016,25(7):203-207. |
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| Authors: | YANG Dong-Shu ZHANG Ming-Ming and SHI Lei |
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| Affiliation: | State Grid Information & Telecommunication Industry Company Limited, Anhui Jiyuan Software Company Limited, Hefei 230088, China,State Grid Jiangsu electric power company, Telecommunication branch, Nanjing 210000, China and State Grid Information & Telecommunication Industry Company Limited, Anhui Jiyuan Software Company Limited, Hefei 230088, China |
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| Abstract: | Proposing memory computing and the development of technology, is based on the actual situation needs. For industries, its data processing is facing all kinds of problems and difficulties, such as large amount of data processing, low efficiency of data processing and slow processing speed, load forecasting of electric power industry also meet obstacles, to large quantities of data real-time analysis make predictions become a big problem, in this paper, the calculation based on memory, combined with bp neural network prediction model, make the research problems on load forecasting, compared with traditional methods, experimental proof has qualitative improvement. |
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| Keywords: | memory computing power load forecasting BP neural network big data |
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