Reinforced learning algorithm for efficient energy tracking in peer-to-peer energy trading

Ahmad Tajuddin, Ahmad Haikal Firdaus and Mohamad Hanif, Noor Hazrin Hany and Danial Norizal, Muhammad Hafidzuddin Hanif (2025) Reinforced learning algorithm for efficient energy tracking in peer-to-peer energy trading. In: International Conference on Computer and Communication Engineering 2025, 26-27 August 2025, Kuala Lumpur, Malaysia.

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Abstract

Peer-to-peer (P2P) energy trading systems have become increasingly popular due to the growing integration of renewable energy sources (RES) into the electrical grid. P2P systems allow direct and decentralized energy exchanges between producers and consumers. However, effective energy management is greatly challenged by the natural changes in solar energy caused by dynamic environmental conditions. To reduce the waste of renewable energy, this project sought to design an effective reinforcement learning (RL) algorithm that optimizes energy monitoring and distribution in a P2P energy trading network. Firstly, we developed a reinforcement learning system based on the Q-Learning algorithm, tailored to handle and control the erratic nature of solar energy production and variable consumption patterns from consumers. A solar harvester prototype was then built to simulate an environment for the RL agent to interact with, based on the data gathered. Our study indicated that the proposed RL-based method ensures a more sustainable and efficient energy system by effectively fulfilling consumer demand with minimal energy losses. The results show that advanced machine learning methods can improve how energy is managed and enhance the reliability and efficiency of renewable energy sources like solar power.

Item Type:	Proceeding Paper (Invited Papers)
Uncontrolled Keywords:	peer-to-peer, solar energy, reinforcement learning, Q-Learning
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Mechatronics Engineering Kulliyyah of Engineering
Depositing User:	DR Noor Hazrin Hany Mohamad Hanif
Date Deposited:	07 May 2026 09:37
Last Modified:	07 May 2026 09:37
Queue Number:	2026-04-Q3083
URI:	http://irep.iium.edu.my/id/eprint/128670

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