Users express their emotions in online social networks （OSNs）. Studying emotions is important for understanding user behaviors. Existing methods in emotion prediction mainly use personal emotion and friend emotion t...Users express their emotions in online social networks （OSNs）. Studying emotions is important for understanding user behaviors. Existing methods in emotion prediction mainly use personal emotion and friend emotion to predict target emotion. In this study, public sentiment is introduced to denote the sentiment of the majority in the network. Public conformity is calculated to measure the degree of a user conforming to the public sentiment. According to the public conformity, users are categorized into three classes： Approvers, independents, and starters. A user-level model for emotion prediction is proposed to predict target emotions of different classes of users, taking into account of the public sentiment, individual sentiment, friend sentiment and pseudo-friend sentiment. Relations between the public conformity and the structure of the network are studied. Experiments conducted on Sina Weibo show that the proposed model could achieve performance improvements to some existing methods in most cases.展开更多
针对大规模电动汽车(EV)随机接入电网时,电动汽车无序充电将会导致电网用电量增加,负荷峰谷差值变大,如何有效降低电动汽车带来的用电负荷风险是未来关注的重点。文中提出了基于车网互动(vehicle to grid,V2G)的电动汽车充放电双层优化...针对大规模电动汽车(EV)随机接入电网时,电动汽车无序充电将会导致电网用电量增加,负荷峰谷差值变大,如何有效降低电动汽车带来的用电负荷风险是未来关注的重点。文中提出了基于车网互动(vehicle to grid,V2G)的电动汽车充放电双层优化调度策略。其中,上层模型以电网总负荷方差最小和代理商调度计划偏差最小为目标函数;下层模型以用户参与调度意愿和调度能力为基础,在代理商配合调度中心计划的前提下,注重提高用户参与度和用户收益最大化。采用多种群遗传算法对模型进行分析,结果表明,所建模型不仅能够很好的平抑电网负荷波动,有效降低负荷峰谷差,并使参与V2G服务的用户经济收益最大化。展开更多
为提高智能软开关(soft open point, SOP)接入配电网的综合效能,本文提出了一种计及重要用户失负荷风险的多端SOP优化配置方法。首先,采用数据包络分析和逆向数据包络分析方法建立了重要用户停电损失模型,并采用马尔可夫方法建立了SOP...为提高智能软开关(soft open point, SOP)接入配电网的综合效能,本文提出了一种计及重要用户失负荷风险的多端SOP优化配置方法。首先,采用数据包络分析和逆向数据包络分析方法建立了重要用户停电损失模型,并采用马尔可夫方法建立了SOP多状态可靠性模型。然后提出了重要用户转供优先级指标和故障恢复策略,并基于快速失负荷风险计算公式,建立了计及重要用户失负荷风险的SOP位置和容量双层规划模型,最后提出了多目标进化算法和锥规划相结合的混合优化算法对模型进行求解。算例仿真结果表明,所提模型可以降低SOP配置的年综合成本和重要用户停电损失;相比传统规划方法,解决了因配置的SOP容量较低而无法展现其不间断转供能力和故障恢复能力的问题;所提快速失负荷风险计算方法相比传统方法更高效。研究结果可为SOP在配电网中的实际应用提供理论和技术参考。展开更多
基金supported in part by National Key Basic Research and Department (973) Program of China (2013CB329606)Natural Science Foundation of China (61402045)
文摘Users express their emotions in online social networks （OSNs）. Studying emotions is important for understanding user behaviors. Existing methods in emotion prediction mainly use personal emotion and friend emotion to predict target emotion. In this study, public sentiment is introduced to denote the sentiment of the majority in the network. Public conformity is calculated to measure the degree of a user conforming to the public sentiment. According to the public conformity, users are categorized into three classes： Approvers, independents, and starters. A user-level model for emotion prediction is proposed to predict target emotions of different classes of users, taking into account of the public sentiment, individual sentiment, friend sentiment and pseudo-friend sentiment. Relations between the public conformity and the structure of the network are studied. Experiments conducted on Sina Weibo show that the proposed model could achieve performance improvements to some existing methods in most cases.
文摘针对大规模电动汽车(EV)随机接入电网时,电动汽车无序充电将会导致电网用电量增加,负荷峰谷差值变大,如何有效降低电动汽车带来的用电负荷风险是未来关注的重点。文中提出了基于车网互动(vehicle to grid,V2G)的电动汽车充放电双层优化调度策略。其中,上层模型以电网总负荷方差最小和代理商调度计划偏差最小为目标函数;下层模型以用户参与调度意愿和调度能力为基础,在代理商配合调度中心计划的前提下,注重提高用户参与度和用户收益最大化。采用多种群遗传算法对模型进行分析,结果表明,所建模型不仅能够很好的平抑电网负荷波动,有效降低负荷峰谷差,并使参与V2G服务的用户经济收益最大化。
文摘为提高智能软开关(soft open point, SOP)接入配电网的综合效能,本文提出了一种计及重要用户失负荷风险的多端SOP优化配置方法。首先,采用数据包络分析和逆向数据包络分析方法建立了重要用户停电损失模型,并采用马尔可夫方法建立了SOP多状态可靠性模型。然后提出了重要用户转供优先级指标和故障恢复策略,并基于快速失负荷风险计算公式,建立了计及重要用户失负荷风险的SOP位置和容量双层规划模型,最后提出了多目标进化算法和锥规划相结合的混合优化算法对模型进行求解。算例仿真结果表明,所提模型可以降低SOP配置的年综合成本和重要用户停电损失;相比传统规划方法,解决了因配置的SOP容量较低而无法展现其不间断转供能力和故障恢复能力的问题;所提快速失负荷风险计算方法相比传统方法更高效。研究结果可为SOP在配电网中的实际应用提供理论和技术参考。
