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P2P Energy Trading through Prospect Theory, Differential Evolution, and Reinforcement Learning

  • Ashutosh Timilsina
  • , Simone Silvestri
  • University of Kentucky

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Article number3603148
JournalACM Transactions on Evolutionary Learning and Optimization
Volume3
Issue number3
DOIs
StatePublished - Sep 20 2023
Externally publishedYes

ASJC Scopus Subject Areas

  • Artificial Intelligence
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science (miscellaneous)
  • Computer Science Applications
  • Computational Theory and Mathematics

Keywords

  • Deep Q-Network
  • differential evolution
  • dynamic pricing
  • non-linear optimization
  • Peer-to-peer energy trading
  • prospect theory
  • Q-learning

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