Multi-Agent Energy Market Simulations With Machine Learning Integration: A Systematic Literature Review

Multi-Agent Energy Market Simulations With Machine Learning Integration: A Systematic Literature Review

The transition to green energy requires advanced models to analyze complex energy systems. Among these models, agent-based modeling (ABM) or multi-agent systems represents the most pivotal simulation techniques. Machine learning (ML) methods are integrated into ABM to accurately simulate real-world...

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Bibliographic Details
Main Authors: Burak Gokce, Gulgun Kayakutlu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Agent-based modeling
energy markets
machine learning
multi-agent systems
self-organizing map
Online Access:https://ieeexplore.ieee.org/document/11039625/
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