| 刘嘉,蔡雨楠,邢琳.基于大数据的电网成本结构及效益综合分析研究与应用[J].电气自动化,2017,(5):14~16, 30 |
| 基于大数据的电网成本结构及效益综合分析研究与应用 |
| Research and Application of Grid Cost Structure and Synthetical Benefit Analysis Based on Big Data |
| 修订日期：2016-11-01 |
| DOI： |
| 中文关键词: 大数据 数据挖掘 时间序列 边际贡献 盈亏平衡 成本性态 |
| 英文关键词:big data data mining time series marginal contribution break even cost behavior |
| 基金项目: |
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| 摘要点击次数: 17810 |
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| 中文摘要: |
| 基于大数据处理和数据挖掘技术,研究电网企业成本结构及效益分析,通过构建输配电成本趋势预测和边际贡献分析模型,结合电网成本核算业务,将理论研究与企业实践相结合,实现对电网企业成本结构的优化及效益的提升,从而切实解决成本管控中存在的薄弱环节和突出问题,为深入推进大数据技术信息化建设应用提供理论依据和实践经验。 |
| 英文摘要: |
| Based on big data processing and data mining technology, this paper discusses the cost structure and benefit analysis for power grid enterprises. By establishing an analysis model for prediction of cost tendency for power transmission/distribution and marginal contribution and taking into account grid cost accounting, it combines theoretical study and enterprise practice to optimize cost structure of grid enterprises and improve their benefits, thus solving weak links and key issues in the respect of cost control and providing theoretical grounds and practical experience for the promotion of big data information construction. |
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