摘要
现有基于用户评价信息的售电套餐推荐方法因忽略了差异化用户评价信息的多样性,且仅考虑了用户擅长评价售电套餐所有属性的情形,给推荐结果带来较大偏差。为此,提出了一种基于双层邻近传播(BLAP)聚类和多粒度犹豫模糊语言评价集的售电套餐推荐方法。首先,提出了基于用户画像标签体系和BLAP聚类的样本用户集划分方法,以辨别用电特性相似的用户;然后,考虑多粒度犹豫模糊语言评价集和权重不完整信息,提出了样本用户集对售电套餐选择的模糊评价方法;接着,提出了基于样本用户集评价信息的新用户满意度评估方法和售电套餐的全排序推荐方法,以实现售电公司对售电套餐的精准推荐。最后,以中国某地区用户为对象进行算例分析,结果表明基于BLAP聚类和多粒度犹豫模糊集的售电套餐推荐方法能够帮助售电公司提高推荐质量,进而提升用户满意度,增强用户黏性。
The existing recommendation methods for the electricity retail plans based on the evaluation information of customers ignore the diversity of differentiated customer evaluation information and only consider the cases, in which customers are good at evaluating all the attributes of the electricity sales, which will bring great deviation to the recommendation results. To this end, a recommendation method for the electricity retail plans based on the bi-level affinity propagation(BLAP) clustering algorithm and multigranular hesitant fuzzy linguistic evaluation set is proposed. Firstly, the division method for the sample customer set based on the customer portrait label system and BLAP clustering algorithm is proposed to identify the customers with similar electricity consumption characteristics. Secondly, considering the multigranular hesitant fuzzy linguistic evaluation set and incomplete weight information, a fuzzy evaluation method for the selection of electricity retail plan by the sample customer set is put forward. Thirdly,based on the information of the sample customer set, the new evaluation method of new customers and the full-ranking recommendation method for the electricity retail plan are proposed, which can realize the accurate recommendation of electricity retail plans by electricity retail companies. Finally, taking customers in an area of China as a case for study, the results show that the electricity retail plan recommendation method for electricity retail plans based on BLAP clustering and multigranular hesitant fuzzy set can help electricity retail companies improve the recommendation quality. Thus, the satisfaction of customers is improved, and the stickiness of customers is enhanced.
作者
马愿谦
李启源
陈汉忠
张智
林振智
杨莉
MA Yuanqian;LI Qiyuan;CHEN Hanzhong;ZHANG Zhi;LIN Zhenzhi;YANG Li(School of Mechanical Engineering and Automation,Zhejiang Sci-Tech University,Hangzhou 310018,China;College of Electrical Engineering,Zhejiang University,Hangzhou 310058,China)
出处
《电力系统自动化》
EI
CSCD
北大核心
2023年第1期96-104,共9页
Automation of Electric Power Systems
基金
浙江省自然科学基金资助项目(LQ22E070009)。
关键词
售电套餐
售电公司
用户画像
双层邻近传播聚类
多粒度犹豫模糊集
满意度评估
electricity retail plan
electricity retail company
customer portrait
bi-level affinity propagation(BLAP)clustering
multigranular hesitant fuzzy set
satisfaction evaluation
