With the gradual integration of vehi-cle-to-grid technology in electric vehicles(EVs),the in-teraction between transportation and distribution networks has become increasingly critical,intensifying the demand for powe...With the gradual integration of vehi-cle-to-grid technology in electric vehicles(EVs),the in-teraction between transportation and distribution networks has become increasingly critical,intensifying the demand for power grid communication and transforming the power grid into a cyber-physical-transportation system.In response to these challenges,this paper proposes a pricing and control strategy for battery changing stations(BCSs)across multiple markets.Firstly,a Bayesian adaptive spline surface based sensitivity analysis method is employed to quantify the impact of pricing on road congestion rates.In the intraday market,a dynamic pricing strategy,guided by sensitivity analysis,is designed to influence EV traffic flow with minimal price adjustments.This optimizes BCS revenue in energy and reserve capacity markets while alleviating traffic congestion and reducing the communication burden.In the real-time market,a game-based subjective and objective evaluation method is developed to assess the response characteristics of BCSs considering factors such as communication delays,regulation capacity,and market revenue,enabling an equitable allocation of frequency regulation tasks among BCSs.Additionally,this method ensures fair compensation to balance the financial impact of price changes across multiple BCSs.Simulation results validate the effectiveness of the proposed method.展开更多
市场营销领域对数据的研究正在逐渐地从传统的单模态数据向信息更加丰富的多模态数据过渡,回顾和展望市场营销研究经历的多模态数据形塑过程具有学术价值和实践意义。笔者基于Web of Science与中国知网数据库资源(2005—2025),运用CiteS...市场营销领域对数据的研究正在逐渐地从传统的单模态数据向信息更加丰富的多模态数据过渡,回顾和展望市场营销研究经历的多模态数据形塑过程具有学术价值和实践意义。笔者基于Web of Science与中国知网数据库资源(2005—2025),运用CiteSpace和内容分析两种研究工具,从研究主题、理论基础及研究方法等维度,对筛选自核心期刊的407篇相关研究样本文献进行了系统梳理和深度解构,呈现出多模态数据对市场营销研究的形塑:研究主题的演进主轴为“静态内容呈现”—“动态互动参与”—“长期价值转化”;理论基础展现由市场营销学扩展到信息科学、传播学、心理学等多学科的相互交叉融合;研究方法趋向以人工智能计算为主导,辅之定性阐释的多元化格局;基于样本文献研究构建的多模态数据形塑市场营销研究的整合性理论框架,系统揭示多模态信息影响力的完整作用机制;涵盖理论深化、方法创新、应用拓展等一系列拓展预景均可宏观勾勒。研究结论为该领域的理论深化与实践创新提供了整合性的认知框架与前瞻性指引。展开更多
针对当前省内分时电价机制忽略省级以上电力市场交易成本影响且忽视代理购电商购电成本传导风险的问题,提出一种考虑多级市场代理购电成本传导风险的分时电价定价模型。首先,基于购电成本最小化目标,设计多级市场购电决策模型;然后,采...针对当前省内分时电价机制忽略省级以上电力市场交易成本影响且忽视代理购电商购电成本传导风险的问题,提出一种考虑多级市场代理购电成本传导风险的分时电价定价模型。首先,基于购电成本最小化目标,设计多级市场购电决策模型;然后,采用概率场景描述现货市场价格预测偏差和用户响应预测偏差,并以条件风险价值(conditional value at risk,CVaR)作为传导风险评估指标,建立最大化传导上级市场购电成本变动和最小化代理购电商传导风险为目标的分时电价模型;最后,采用k-means和粒子群算法进行求解。算例分析结果表明,所提出的分时电价模型能更准确传导多级市场的成本与风险,向用户释放多级电力市场的综合价格信号,并能够为代理购电商提供多级市场交易情境下的风险分析。展开更多
基金supported in part by the National Natural Science Foundation of China(No.62293500 and No.62293504)in part by the Postgraduate Research and Practice Innovation Program of Jiangsu Province(No.KYCX23_1044).
文摘With the gradual integration of vehi-cle-to-grid technology in electric vehicles(EVs),the in-teraction between transportation and distribution networks has become increasingly critical,intensifying the demand for power grid communication and transforming the power grid into a cyber-physical-transportation system.In response to these challenges,this paper proposes a pricing and control strategy for battery changing stations(BCSs)across multiple markets.Firstly,a Bayesian adaptive spline surface based sensitivity analysis method is employed to quantify the impact of pricing on road congestion rates.In the intraday market,a dynamic pricing strategy,guided by sensitivity analysis,is designed to influence EV traffic flow with minimal price adjustments.This optimizes BCS revenue in energy and reserve capacity markets while alleviating traffic congestion and reducing the communication burden.In the real-time market,a game-based subjective and objective evaluation method is developed to assess the response characteristics of BCSs considering factors such as communication delays,regulation capacity,and market revenue,enabling an equitable allocation of frequency regulation tasks among BCSs.Additionally,this method ensures fair compensation to balance the financial impact of price changes across multiple BCSs.Simulation results validate the effectiveness of the proposed method.
文摘市场营销领域对数据的研究正在逐渐地从传统的单模态数据向信息更加丰富的多模态数据过渡,回顾和展望市场营销研究经历的多模态数据形塑过程具有学术价值和实践意义。笔者基于Web of Science与中国知网数据库资源(2005—2025),运用CiteSpace和内容分析两种研究工具,从研究主题、理论基础及研究方法等维度,对筛选自核心期刊的407篇相关研究样本文献进行了系统梳理和深度解构,呈现出多模态数据对市场营销研究的形塑:研究主题的演进主轴为“静态内容呈现”—“动态互动参与”—“长期价值转化”;理论基础展现由市场营销学扩展到信息科学、传播学、心理学等多学科的相互交叉融合;研究方法趋向以人工智能计算为主导,辅之定性阐释的多元化格局;基于样本文献研究构建的多模态数据形塑市场营销研究的整合性理论框架,系统揭示多模态信息影响力的完整作用机制;涵盖理论深化、方法创新、应用拓展等一系列拓展预景均可宏观勾勒。研究结论为该领域的理论深化与实践创新提供了整合性的认知框架与前瞻性指引。
文摘碳价是碳市场的核心要素,碳价波动受到众多因素及其时滞效应的影响。为精准预测全国碳市场碳排放配额(Chinese emission allowances,CEA)价格,从关联碳市场、经济发展、国外能源、国内能源和人民币汇率五个维度选取结构化影响因素,从经济政策、环境影响和用户意愿三个维度爬取来自百度搜索引擎的非结构化影响因素,然后引入MIV-BP模型筛选主要的影响因素,并基于最大信息系数(maximum information coefficient,MIC)对碳价以及多源影响因素进行时滞估计。在此基础上,构建融合多源信息的碳价时滞组合预测模型MIC-LSTM-BP,并和基准模型LSTM、BP、LSTM-BP以及时滞基准模型MIC-LSTM、MIC-BP、MIC-LSTM-GBDT进行对比分析,以验证新模型的有效性。结果表明,时滞信息的引入有助于提升模型的预测精度;相较于基准模型和时滞基准模型,MICLSTM-BP模型预测CEA价格精度最高,价格波动追随能力最好。
文摘针对当前省内分时电价机制忽略省级以上电力市场交易成本影响且忽视代理购电商购电成本传导风险的问题,提出一种考虑多级市场代理购电成本传导风险的分时电价定价模型。首先,基于购电成本最小化目标,设计多级市场购电决策模型;然后,采用概率场景描述现货市场价格预测偏差和用户响应预测偏差,并以条件风险价值(conditional value at risk,CVaR)作为传导风险评估指标,建立最大化传导上级市场购电成本变动和最小化代理购电商传导风险为目标的分时电价模型;最后,采用k-means和粒子群算法进行求解。算例分析结果表明,所提出的分时电价模型能更准确传导多级市场的成本与风险,向用户释放多级电力市场的综合价格信号,并能够为代理购电商提供多级市场交易情境下的风险分析。
