Modeling and Design of Real-Time Pricing Systems Based on Markov Decision Processes

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ISSN Print: 2152-7385
ISSN Online: 2152-7393
www.scirp.org/journal/am
E-mail: am@scirp.org

"Modeling and Design of Real-Time Pricing Systems Based on Markov Decision Processes"
written by Koichi Kobayashi, Ichiro Maruta, Kazunori Sakurama, Shun-ichi Azuma,
published by Applied Mathematics, Vol.5 No.10, 2014

has been cited by the following article(s):

[1]	A distributed real-time pricing strategy based on reinforcement learning approach for smart grid
	Expert Systems with Applications, 2022

[2]	Real-time pricing considering different type of smart home appliances based on Markov decision process
	2019

[3]	Linear and Conditional Logit Models of Demand Shifting for the Time-varying Capacity-Demand-Imbalance Problem
	2019

[4]	A Proposal of a Demand Shifting Function to Address the Demand-Capacity Imbalance of Capacity-Constrained Systems that Shift Demand by Discount …
	2018

[5]	A Proposal of a Demand Shifting Function to Address the Demand-Capacity Imbalance of Capacity-Constrained Systems that Shift Demand by Discount Setting
	2018

[6]	Real-Time Pricing for Smart Grid with Multiple Companies and Multiple Users Using Two-Stage Optimization
	Journal of Systems Science and Information, 2018

[7]	Robust AC Voltage Regulation of Microgrids in Islanded Mode with Sinusoidal Internal Model
	SICE Journal of Control, Measurement, and System Integration, 2017

[8]	马尔可夫决策过程下的智能电网实时电价模型
	系统仿真学报, 2016

[9]	Controllability of Aggregate Demand Response Systems for Real-Time Pricing
	2016

[10]	Optimal real-time pricing model of smart grid based on markov decision process
	Journal of System Simulation, 2016

[11]	Controllability Analysis of an Aggregate Demand Response System
	Mathematical Problems in Engineering, 2015

[1]	A distributed real-time pricing strategy based on reinforcement learning approach for smart grid Expert Systems with Applications, 2022 DOI:10.1016/j.eswa.2021.116285

[2]	A distributed real-time pricing strategy based on reinforcement learning approach for smart grid Expert Systems with Applications, 2022 DOI:10.1016/j.eswa.2021.116285

[3]	Real-time pricing considering different type of smart home appliances based on Markov decision process International Journal of Electrical Power & Energy Systems, 2019 DOI:10.1016/j.ijepes.2018.12.002

[4]	Real-Time Pricing for Smart Grid with Multiple Companies and Multiple Users Using Two-Stage Optimization Journal of Systems Science and Information, 2018 DOI:10.21078/JSSI-2018-435-12

[5]	Robust AC Voltage Regulation of Microgrids in Islanded Mode with Sinusoidal Internal Model SICE Journal of Control, Measurement, and System Integration, 2017 DOI:10.9746/jcmsi.10.62

[6]	Controllability of Aggregate Demand Response Systems for Real-Time Pricing 2016 IEEE 4th International Conference on Cyber-Physical Systems, Networks, and Applications (CPSNA), 2016 DOI:10.1109/CPSNA.2016.15

[7]	Controllability Analysis of an Aggregate Demand Response System Mathematical Problems in Engineering, 2015 DOI:10.1155/2015/487173

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