On June 3rd,JD.com announced that Paipai,its second-hand commodity trade platform,was strategically merged with Aihuishou(Love Recycling)which is one of the largest electronics recycling platforms in China.Recently,th...On June 3rd,JD.com announced that Paipai,its second-hand commodity trade platform,was strategically merged with Aihuishou(Love Recycling)which is one of the largest electronics recycling platforms in China.Recently,the Ecommerce Research Centre of 100ec.cn released the2018 Development Report for China Second-hand E-businesses(hereinafter referred to as the Report),which indicated that as of the end of 2017.展开更多
Currently,critical peak load caused by residential customers has attracted utility companies and policymakers to pay more attention to residential demand response(RDR)programs.In typical RDR programs,residential custo...Currently,critical peak load caused by residential customers has attracted utility companies and policymakers to pay more attention to residential demand response(RDR)programs.In typical RDR programs,residential customers react to the price or incentive-based signals,but the actions can fall behind flexible market situations.For those residential customers equipped with smart meters,they may contribute more DR loads if they can participate in DR events in a proactive way.In this paper,we propose a comprehensive market framework in which residential customers can provide proactive RDR actions in a day-ahead market(DAM).We model and evaluate the interactions between generation companies(GenCos),retailers,residential customers,and the independent system operator(ISO)via an agent-based modeling and simulation(ABMS)approach.The simulation framework contains two main procedures—the bottom-up modeling procedure and the reinforcement learning(RL)procedure.The bottom-up modeling procedure models the residential load profiles separately by household types to capture the RDR potential differences in advance so that residential customers may rationally provide automatic DR actions.Retailers and GenCos optimize their bidding strategies via the RL procedure.The modified optimization approach in this procedure can prevent the training results from falling into local optimum solutions.The ISO clears the DAM to maximize social welfare via Karush-Kuhn-Tucker(KKT)conditions.Based on realistic residential data in China,the proposed models and methods are verified and compared in a large multi-scenario test case with 30,000 residential households.Results show that proactive RDR programs and interactions between market entities may yield significant benefits for both the supply and demand sides.The models and methods in this paper may be used by utility companies,electricity retailers,market operators,and policy makers to evaluate the consequences of a proactive RDR and the interactions among multi-entities.展开更多
This paper constructs a structural dynamic equilibrium model based on a dual market system,which includes China’s residential housing market and the property rental market in China’s first-tier urban cities.The pape...This paper constructs a structural dynamic equilibrium model based on a dual market system,which includes China’s residential housing market and the property rental market in China’s first-tier urban cities.The paper analyzes dual-market general equilibria under different scenarios as perceived since 200.An open-economy Gordon growth model is also introduced to examine fair housing prices based on the assumption of no arbitrage.Empirical results indicate significant(but time-varying)price deviations from the equilibrium level since2005 which are mostly driven by contingent demand and property investors.The paper concludes that the contingent purchasing demand supports China’s recent residential price hike and that speculation does not dominate the price boom.The recent quota policy has a theoretical downward pressure on the housing price in the short run but it also lifts property rents dramatically in the middle and long run.展开更多
文摘On June 3rd,JD.com announced that Paipai,its second-hand commodity trade platform,was strategically merged with Aihuishou(Love Recycling)which is one of the largest electronics recycling platforms in China.Recently,the Ecommerce Research Centre of 100ec.cn released the2018 Development Report for China Second-hand E-businesses(hereinafter referred to as the Report),which indicated that as of the end of 2017.
基金supported in part by the National Key Research and Development Program of China(2016YFB0901100)the National Natural Science Foundation of China(U1766203)+1 种基金the Science and Technology Project of State Grid Corporation of China(Friendly interaction system of supply-demand between urban electric power customers and power grid)the China Scholarship Council(CSC).
文摘Currently,critical peak load caused by residential customers has attracted utility companies and policymakers to pay more attention to residential demand response(RDR)programs.In typical RDR programs,residential customers react to the price or incentive-based signals,but the actions can fall behind flexible market situations.For those residential customers equipped with smart meters,they may contribute more DR loads if they can participate in DR events in a proactive way.In this paper,we propose a comprehensive market framework in which residential customers can provide proactive RDR actions in a day-ahead market(DAM).We model and evaluate the interactions between generation companies(GenCos),retailers,residential customers,and the independent system operator(ISO)via an agent-based modeling and simulation(ABMS)approach.The simulation framework contains two main procedures—the bottom-up modeling procedure and the reinforcement learning(RL)procedure.The bottom-up modeling procedure models the residential load profiles separately by household types to capture the RDR potential differences in advance so that residential customers may rationally provide automatic DR actions.Retailers and GenCos optimize their bidding strategies via the RL procedure.The modified optimization approach in this procedure can prevent the training results from falling into local optimum solutions.The ISO clears the DAM to maximize social welfare via Karush-Kuhn-Tucker(KKT)conditions.Based on realistic residential data in China,the proposed models and methods are verified and compared in a large multi-scenario test case with 30,000 residential households.Results show that proactive RDR programs and interactions between market entities may yield significant benefits for both the supply and demand sides.The models and methods in this paper may be used by utility companies,electricity retailers,market operators,and policy makers to evaluate the consequences of a proactive RDR and the interactions among multi-entities.
基金supported by the Fundamental Research Funds for the Central Universitiesthe Research Funds of Renmin University of China(No.13XNJ002)
文摘This paper constructs a structural dynamic equilibrium model based on a dual market system,which includes China’s residential housing market and the property rental market in China’s first-tier urban cities.The paper analyzes dual-market general equilibria under different scenarios as perceived since 200.An open-economy Gordon growth model is also introduced to examine fair housing prices based on the assumption of no arbitrage.Empirical results indicate significant(but time-varying)price deviations from the equilibrium level since2005 which are mostly driven by contingent demand and property investors.The paper concludes that the contingent purchasing demand supports China’s recent residential price hike and that speculation does not dominate the price boom.The recent quota policy has a theoretical downward pressure on the housing price in the short run but it also lifts property rents dramatically in the middle and long run.
