Toward Explainable and Policy-Aware AI for Carbon Credit Price Prediction: A Research Framework for Emerging Carbon Markets

arXiv:2609.01765 · cs.LG · Submitted 2026-09-01 · Read on arXiv

cs.LG

Submitted: 2026-09-01

Updated: 2026-09-01

Code: https://github.com/Kimalice/Toward-Explainable-andPolicy-Aware-AI-for-Carbon-Credit-Price-Prediction

Terminology

• Accuracy — 13× in this paper · explained in 1 episode
• Transformer — 13× in this paper · explained in 2 episodes
• Explainability — 10× in this paper · explained in 3 episodes
• Robustness — 5× in this paper · explained in 5 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Calibration — 4× in this paper · explained in 7 episodes
• Uncertainty Quantification — 4× in this paper · explained in 8 episodes
• Hallucination — 3× in this paper · explained in 3 episodes
• Interpretability — 3× in this paper · explained in 15 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Attention Mechanism — 2× in this paper · explained in 3 episodes
• Carbon Credit Trading Scheme — 2× in this paper
• Feature Selection — 2× in this paper · explained in 4 episodes
• Human-in-the-Loop — 2× in this paper · explained in 3 episodes
• Transformer Models — 2× in this paper · explained in 2 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Adversarial Attacks — 1× in this paper · explained in 1 episode
• Clustering — 1× in this paper · explained in 2 episodes
• Convergence Guarantees — 1× in this paper · explained in 3 episodes
• Data Fusion — 1× in this paper · explained in 3 episodes
• Explainable AI (XAI) — 1× in this paper · explained in 7 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Hybrid System — 1× in this paper · explained in 2 episodes
• Shapley values — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transferability — 1× in this paper · explained in 4 episodes

Sources

• Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting
• A Hybrid Deep Learning based Carbon Price Forecasting Framework with Structural Breakpoints Detection and Signal Denoising

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