⌘+K

Pulse Explore Communities Researchers Journals

Home Communities Explore

June 30, 2026Open Access

When Flexibility Options Compete: Lessons from agent-based and machine learning models

View Full Paper

Ask AI

Bookmark

Share

Key Points

This presentation aims to explore how different flexibility options compete in electricity markets using simulations.
Simulated competing flexibility options using the agent-based model AMIRIS.
Integrated machine learning techniques to analyze market behavior.
Focused on the dynamics of the electricity market.
Revealed unique interactions between flexibility options in the market.
Demonstrated the impact of these interactions on market efficiency.
Provided insights into optimizing flexibility strategies for future markets.

Implication

Presentation simulates competing flexibility options in electricity markets using agent-based and machine learning models, suggesting new insights.

Abstract

Presentation about competing flexibility options simulated with the open agent-based electricity market model AMIRIS

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Felix Nitsch (2026) studied this question.

synapsesocial.com/papers/6a46015f9ed13430313112ed https://doi.org/10.5281/zenodo.21064410

View Full Paper

Ask AI

Bookmark

Share

Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1How to Model Competing Flexibility Options (Fast)Original Research · 2026
2A Scoping Review of Flexibility Markets in the Power Sector: Models, Mechanisms, and Business Perspectives2025 · 12 citations
3D4.4 Optimal selection of available flexibility v2Original Research · 2025
4Synergies and competition: Examining flexibility options in the European electricity market2024 · 11 citations
5Energy and flexibility markets clearing mechanism for electrical distribution system through a flexibility imbalance modification strategyOriginal Research · 2026 · 11 citations

More related papers

Bridging economics and physics in energy systems analysis: Effects of flexibility representation on model outcomes2026
Optimizing flexibility rewards for aggregator–consumer interactions: a bilevel multi-follower approach2026
A game-theoretic, market-based approach to extract flexibility from distributed energy resources2024