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September 23, 2025EnergiesOpen Access

Optimization of Biomass Delivery Through Artificial Intelligence Techniques

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The ANN-based model improved logistics efficiency and reduced costs for biomass supply chains in renewable energy.
Performance evaluation showed a high predictive accuracy (R2 = 0.99), confirming the model's effectiveness in real-world scenarios.
The study developed a modular approach integrating economic and geographic parameters to optimize supply chain decisions.
Future research aims to enhance dataset robustness and address market fluctuations affecting the biomass logistics sector.

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This research demonstrates an AI-driven model that optimizes biomass supply chains, enhancing logistics efficiency.

Wesołowska et al. (2025) studied this question.

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