Long-term renewable energy forecasting and multi-agent reinforcement learning optimization for Turkey's 2050 Technical Planning Horizon aligned with 2053 net-zero commitment: A hybrid neural-physical and hierarchical reinforcement learning approach

Related documents

• Reinforcement Learning to Initialize Newton-Raphson for AC Power Flow with Quantum Annealing-Based Environment Updates#1129143
• An Evolutionary Computation Framework for Multi-Agent Q-Learning with Mean-Field Environmental Feedback#1071059
• Deep Reinforcement Learning for Adaptive Mesh Refinement: A Training Parameter Study#1071578
• MPFlow: Learning Budgeted Max-Flow Optimization on the Lightning Network with Deep Graph Reinforcement Learning#353046
• Powering the Future of AI: Navigating the Trade-offs for Europe's Energy Transition and Net-Zero Goals#267697