HAMLET: A modular agent-based Python framework for energy markets and systems

HAMLET is an agent-based Python framework designed to model the intricate interactions between energy markets, systems, and stakeholders. Its modular architecture provides a flexible and adaptable platform for analyzing complex energy systems. With numerous pre-built templates for energy system components, HAMLET enables researchers to focus on their area of expertise without the need to develop the surrounding ecosystem from scratch. By integrating market and system dynamics, HAMLET supports diverse applications, including market design optimization, grid management, policy refinement, and energy management system development. HAMLET delivers detailed insights into the technical, economic, and social impacts of new system designs, addressing a critical gap in energy system modeling.

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Publication Details

Journal
SoftwareX
Published
2025-09-23
DOI
https://doi.org/10.1016/j.softx.2025.102346
Citations
1
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
0.73
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article

HAMLET: A modular agent-based Python framework for energy markets and systems

1 citations
SoftwareX
Integrated Energy Systems Optimization
0.73
article

HAMLET: A modular agent-based Python framework for energy markets and systems

article en
1 citations

Abstract

HAMLET is an agent-based Python framework designed to model the intricate interactions between energy markets, systems, and stakeholders. Its modular architecture provides a flexible and adaptable platform for analyzing complex energy systems. With numerous pre-built templates for energy system components, HAMLET enables researchers to focus on their area of expertise without the need to develop the surrounding ecosystem from scratch. By integrating market and system dynamics, HAMLET supports diverse applications, including market design optimization, grid management, policy refinement, and energy management system development. HAMLET delivers detailed insights into the technical, economic, and social impacts of new system designs, addressing a critical gap in energy system modeling.

SoftwareXVol. 32
Technische Hochschule Ingolstadt (DE), Technical University of Munich (DE)
Affordable and clean energy
Openalex Percentile: Top 21%
Integrated Energy Systems Optimization
0.73
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