التفاصيل البيبلوغرافية
| العنوان: |
Towards Adaptive Self-Improvement for Smarter Energy Systems |
| المؤلفون: |
Sommer, Alexander, Bazan, Peter, Fellerer, Jonathan, Babaeian, Behnam, German, Reinhard |
| سنة النشر: |
2025 |
| المجموعة: |
Computer Science |
| مصطلحات موضوعية: |
Electrical Engineering and Systems Science - Systems and Control |
| الوصف: |
This paper introduces a hierarchical framework for decision-making and optimization, leveraging Large Language Models (LLMs) for adaptive code generation. Instead of direct decision-making, LLMs generate and refine executable control policies through a meta-policy that guides task generation and a base policy for operational actions. Applied to a simplified microgrid scenario, the approach achieves up to 15 percent cost savings by iteratively improving battery control strategies. The proposed methodology lays a foundation for integrating LLM-based tools into planning and control tasks, offering adaptable and scalable solutions for complex systems while addressing challenges of uncertainty and reproducibility. |
| نوع الوثيقة: |
Working Paper |
| URL الوصول: |
http://arxiv.org/abs/2501.19340 |
| رقم الانضمام: |
edsarx.2501.19340 |
| قاعدة البيانات: |
arXiv |