Shrenik Jadhav

Biographic Data

ID6564046
NAMEShrenik Jadhav
GIVEN NAMESShrenik
FAMILY NAMEJadhav
SIGNATUREJADHAV S
AFFILIATIONSUniversity of Michigan–Dearborn
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2026
LATEST PUBLICATION YEAR2026
H-INDEX0

  • FairMarket-RL

    Open AccessShrenik Jadhav, Birva Sevak et al.ARTICLEThe Electricity Journal2026

    Peer-to-peer (P2P) trading is increasingly recognized as a key mechanism for decentralized market regulation, yet existing approaches often lack robust frameworks to ensure fairness. This paper presents FairMarket-RL, a novel hybrid framework that combines Large Language Models (LLMs) with Reinforcement Learning (RL) to enable fairness-aware trading agents. In a simulated P2P microgrid with multiple sellers and buyers, the LLM acts as a real-time…

  • Scalable fairness shaping with LLM-guided multi-agent reinforcement learning for peer-to-peer electricity markets

    Open AccessShrenik Jadhav, Birva Sevak et al.ARTICLEUtilities Policy2026

    Peer-to-peer (P2P) energy trading is becoming central to modern distribution systems as rooftop PV and home energy management systems become pervasive, yet most existing market and reinforcement learning(RL) designs emphasize efficiency or private profit and offer little real-time guidance to ensure equitable outcomes under uncertainty. To address this gap, we propose FairMarket-RL, a fairness-aware multiagent RL framework in which a large langua…