Prospect Theory-inspired Automated P2P Energy Trading with Q-learning-based Dynamic Pricing

Author:

Timilsina Ashutosh1,Silvestri Simone1

Affiliation:

1. University of Kentucky,Department of Computer Science,Lexington,USA

Funder

NSF

Publisher

IEEE

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Optimización de costos en un escenario de mercado entre pares multimicrorred con dinámicas de replicadores;TecnoLógicas;2024-07-02

2. SMARTFORM: Self-Managed Coalition Formation for Energy Trading in Smart Grid Systems;ICC 2024 - IEEE International Conference on Communications;2024-06-09

3. ELEKTRA: Empowering prosumers with distributed prosumer grouping and game-theoretic energy procurement;Simulation Modelling Practice and Theory;2024-05

4. e-Uber: A Crowdsourcing Platform for Electric Vehicle-based Ride- and Energy-sharing;2023 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems (MASS);2023-09-25

5. P2P Energy Trading in a Smart Residential Environment with User Behavioral Modeling;2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops);2023-03-13

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