一种融合动态电价与用户画像的电力合约推荐方法及系统
By employing time-series modeling, DS evidence theory, and multi-objective optimization techniques, the problems of static user profiles and insufficient matching with electricity pricing mechanisms were solved. This enabled efficient and personalized electricity contract recommendations based on dynamic electricity prices and user profiles, thereby improving system integration and user satisfaction.
CN121903671BActive Publication Date: 2026-07-17STATE GRID JIANGSU ELECTRIC POWER CO LTD MARKETING SERVICE CENT
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- STATE GRID JIANGSU ELECTRIC POWER CO LTD MARKETING SERVICE CENT
- Filing Date
- 2026-03-24
- Publication Date
- 2026-07-17
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Figure CN121903671B_ABST
Abstract
本发明公开融合动态电价与用户画像的电力合约推荐方法及系统，所述方法包括：获取用户用电时序数据和电价机制特征数据；基于用户用电时序数据，提取用户用电模式特征向量和用电行为演变趋势指标；基于电价机制特征数据与用户用电模式特征向量，输出前K个候选电价机制；基于用户用电模式特征向量、用电行为演变趋势指标以及候选电价机制，生成多个模拟序列；将模拟序列输入到多目标优化模型中，以用户用能成本最小化和能效最大化为优化目标，获取电力合约的帕累托最优解集；获取最终的电力合约推荐结果，并将该结果反馈至用户终端。本发明解决了现有技术中用户画像静态、电价机制匹配不准确和优化效率低的问题，提高了推荐的个性化和经济效益。
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