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

Ashutosh Timilsina; Simone Silvestri

doi:10.1109/GLOBECOM48099.2022.10001173

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

Ashutosh Timilsina
, Simone Silvestri

University of Kentucky

Research output: Contribution to journal › Conference article › peer-review

Original language	English
Pages (from-to)	4836-4841
Number of pages	6
Journal	Proceedings - IEEE Global Communications Conference, GLOBECOM
DOIs	https://doi.org/10.1109/GLOBECOM48099.2022.10001173
State	Published - 2022
Externally published	Yes
Event	2022 IEEE Global Communications Conference, GLOBECOM 2022 - Rio de Janeiro, Brazil Duration: Dec 4 2022 → Dec 8 2022

ASJC Scopus Subject Areas

Artificial Intelligence
Computer Networks and Communications
Hardware and Architecture
Signal Processing

Keywords

differential evolution
dynamic pricing
Peer-to-peer energy trading
prospect theory
prosumer
Q-learning

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10.1109/GLOBECOM48099.2022.10001173

Cite this

@article{587a06f3a295449cb09d2b69175ecf13,

title = "Prospect Theory-inspired Automated P2P Energy Trading with Q-learning-based Dynamic Pricing",

keywords = "differential evolution, dynamic pricing, Peer-to-peer energy trading, prospect theory, prosumer, Q-learning",

author = "Ashutosh Timilsina and Simone Silvestri",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Global Communications Conference, GLOBECOM 2022 ; Conference date: 04-12-2022 Through 08-12-2022",

year = "2022",

doi = "10.1109/GLOBECOM48099.2022.10001173",

language = "English",

pages = "4836--4841",

journal = "Proceedings - IEEE Global Communications Conference, GLOBECOM",

issn = "2334-0983",

}

TY - JOUR

T1 - Prospect Theory-inspired Automated P2P Energy Trading with Q-learning-based Dynamic Pricing

AU - Timilsina, Ashutosh

AU - Silvestri, Simone

PY - 2022

Y1 - 2022

KW - differential evolution

KW - dynamic pricing

KW - Peer-to-peer energy trading

KW - prospect theory

KW - prosumer

KW - Q-learning

UR - https://www.scopus.com/pages/publications/85146936912

UR - https://www.scopus.com/pages/publications/85146936912#tab=citedBy

U2 - 10.1109/GLOBECOM48099.2022.10001173

DO - 10.1109/GLOBECOM48099.2022.10001173

M3 - Conference article

AN - SCOPUS:85146936912

SN - 2334-0983

SP - 4836

EP - 4841

JO - Proceedings - IEEE Global Communications Conference, GLOBECOM

JF - Proceedings - IEEE Global Communications Conference, GLOBECOM

T2 - 2022 IEEE Global Communications Conference, GLOBECOM 2022

Y2 - 4 December 2022 through 8 December 2022

ER -

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

ASJC Scopus Subject Areas

Keywords

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