| 47 | 0 | 32 |
| 下载次数 | 被引频次 | 阅读次数 |
本文基于大数据分析方法,系统梳理居民、商业和工业照明负荷的时序特征及响应能力,深入分析节假日和季节变化对负荷的影响,并结合负荷特性,提出基于分时电价、容量电价和实时电价的多元化、差异化电价设计思路,以匹配不同用户需求,实现精准的电价激励。最后,探讨电力企业如何利用智能计量和信息化平台,开展用户画像和个性化电价套餐推送,构建营销激励与用户引导机制,从而提升用电效率与客户满意度。
Abstract:This paper is based on the method of big data analysis, and the time series characteristics and response capability of residential, commercial and industrial lighting load are combed. The influence of holidays and seasonal changes on load is deeply analyzed. Combined with the characteristics of load, this paper proposes a diversified and diff erentiated electricity price design based on time-of-use price, capacity price and real-time price, which matches diff erent user needs and realizes accurate electricity price incentive mechanism. Finally, we explore how power use intelligent metering and information platform to carry out user portraits and personalized electricity price package push, build a marketing incentive and user guidance mechanism, and improve power consumption e fficiency and customer satisfaction.
[1]林跻云,冀明.基于零售业的负荷可调节潜力分析[J].电器工业,2024(11):84-88.
[2]高立强. LED照明负荷提供调频备用的容量评估与控制策略[D].济南:山东大学,2017.
[3]赵爽,林铮,付娅璐,等.考虑电力用户响应特性的分时电价规划研究[J].电力科学与工程,2022,38(8):56-62.
[4]孙胜博,张凯,冯剑,等.基于负荷特性分析的电力用户用电行为特征研究[J].内蒙古电力技术,2020,38(1):40-44.
[5]武灵耀.基于用户数据的负荷模型与购售电策略分析[D].太原:太原理工大学,2022.
[6]沈惠师,曾婉君,张转霞.电费电价分析方法在电力营销管理中的应用[J].国际公关,2024(14):107-109.
[7]安鹏举.基于客户用电行为分析的电力企业精准营销方法研究[J].企业改革与管理,2025(5):91-93.
[8]彭利峰.新时期下电力市场营销模式及新型电价体系研究[J].纳税,2019,13(7):223.
基本信息:
中图分类号:TM73;F426.61;F274
引用信息:
[1]何强.照明用户侧负荷特性分析及差异化电价营销策略研究[J].中国照明电器,2025,No.487(10):86-88+102.
2025-10-25
2025-10-25