为提高主动配电网(active distribution network,ADN)运行经济性和用户满意度,提出一种考虑需求响应和用户满意度的ADN优化调度方法。综合考虑ADN运行过程中的购电成本、发电成本、维护成本和需求响应成本,建立了以ADN总运行成本最小为...为提高主动配电网(active distribution network,ADN)运行经济性和用户满意度,提出一种考虑需求响应和用户满意度的ADN优化调度方法。综合考虑ADN运行过程中的购电成本、发电成本、维护成本和需求响应成本,建立了以ADN总运行成本最小为目标函数的优化调度模型。利用混沌映射、莱维飞行和收敛因子非线性变化等策略对斑点鬣狗优化算法(spotted hyena optimization,SHO)进行优化,以提高斑点鬣狗算法的优化性能。采用改进斑点鬣狗优化算法(ISHO)对ADN优化调度模型进行求解,算例分析结果表明,ISHO算法的优化效果优于其他算法,2种需求响应同时参与系统调度时的ADN总运行成本最小,经济性更好。展开更多
随着电子商务的迅速发展,B2C电商平台在零售市场中占据了重要地位。尽管平台用户的满意度评估已取得较丰富的成果,但传统的评价方法在权重分配方面仍存在局限性。基于中国顾客满意度指数模型从用户期望、感知质量、感知价值、顾客满意...随着电子商务的迅速发展,B2C电商平台在零售市场中占据了重要地位。尽管平台用户的满意度评估已取得较丰富的成果,但传统的评价方法在权重分配方面仍存在局限性。基于中国顾客满意度指数模型从用户期望、感知质量、感知价值、顾客满意度和顾客忠诚度等五个方面构建评价指标体系;采用可拓优度评价法确定各评价指标的权重并构建B2C电商平台用户满意度的评价模型;利用京东、淘宝和拼多多等三大电商平台的用户满意调查数据验证该评价模型的合理性。With the rapid development of e-commerce, B2C e-commerce platforms have taken a significant position in the retail market. Although substantial progress has been made in evaluating user satisfaction on these platforms, traditional evaluation methods still have limitations in terms of weight distribution. This study constructs an evaluation index system based on the Chinese Customer Satisfaction Index (CCSI) model, covering five aspects: user expectations, perceived quality, perceived value, customer satisfaction, and customer loyalty. The evaluation model of user satisfaction for B2C e-commerce platforms is developed by determining the weight of each evaluation index using the Extension Optimum Degree Evaluation Method. The rationality of this evaluation model is verified using user satisfaction survey data from three major e-commerce platforms: JD.com, Taobao, and Pinduoduo.展开更多
文摘为提高主动配电网(active distribution network,ADN)运行经济性和用户满意度,提出一种考虑需求响应和用户满意度的ADN优化调度方法。综合考虑ADN运行过程中的购电成本、发电成本、维护成本和需求响应成本,建立了以ADN总运行成本最小为目标函数的优化调度模型。利用混沌映射、莱维飞行和收敛因子非线性变化等策略对斑点鬣狗优化算法(spotted hyena optimization,SHO)进行优化,以提高斑点鬣狗算法的优化性能。采用改进斑点鬣狗优化算法(ISHO)对ADN优化调度模型进行求解,算例分析结果表明,ISHO算法的优化效果优于其他算法,2种需求响应同时参与系统调度时的ADN总运行成本最小,经济性更好。
文摘随着电子商务的迅速发展,B2C电商平台在零售市场中占据了重要地位。尽管平台用户的满意度评估已取得较丰富的成果,但传统的评价方法在权重分配方面仍存在局限性。基于中国顾客满意度指数模型从用户期望、感知质量、感知价值、顾客满意度和顾客忠诚度等五个方面构建评价指标体系;采用可拓优度评价法确定各评价指标的权重并构建B2C电商平台用户满意度的评价模型;利用京东、淘宝和拼多多等三大电商平台的用户满意调查数据验证该评价模型的合理性。With the rapid development of e-commerce, B2C e-commerce platforms have taken a significant position in the retail market. Although substantial progress has been made in evaluating user satisfaction on these platforms, traditional evaluation methods still have limitations in terms of weight distribution. This study constructs an evaluation index system based on the Chinese Customer Satisfaction Index (CCSI) model, covering five aspects: user expectations, perceived quality, perceived value, customer satisfaction, and customer loyalty. The evaluation model of user satisfaction for B2C e-commerce platforms is developed by determining the weight of each evaluation index using the Extension Optimum Degree Evaluation Method. The rationality of this evaluation model is verified using user satisfaction survey data from three major e-commerce platforms: JD.com, Taobao, and Pinduoduo.
