Long-Term Renewable Energy Forecasting and Multi-Agent RL Optimization for Turkey's 2050 Energy Transition

Seyit Önderol

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PhD Dissertation · 2025Open Access

Hybrid AI for Turkey's 2050 Energy Transition

Long-Term Renewable Energy Forecasting and Multi-Agent Reinforcement Learning Optimization for Turkey's 2050 Technical Planning Horizon Aligned with 2053 Net-Zero Commitment

Seyit Önderol · Prof. Dr. Faik Bilgili · T.R. Erciyes University

697

Pages

87

Figures

34

Tables

112

Equations

280

References

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Version: v1.0 · Language: English · License: CC BY-NC 4.0

📎 Cite this — Thesis Viewer

Önderol, S. (2025). Long-term renewable energy forecasting and multi-agent reinforcement learning optimization for Turkey's energy transition to 2050 (Doctoral dissertation). Erciyes University.

URL: https://renewabletransition.org/transition/repro/thesis