An agentic aggregator framework couples optimization-based electric bus scheduling with agents for disturbance detection and tariff adaptation, evaluated in a depot case study that shows feasible adaptive coordination but a profit-oriented trade-off that can extract value from the PTO.
Explainable artificial intelligence for evaluation of liquor
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A survey proposing a taxonomy of XAI techniques for food quality research organized by data types and explanation methods.
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When Agents Meet Electric Bus Fleet Operations: Pricing Behavior, Trade-offs, and Policy Implications in an Aggregator Framework
An agentic aggregator framework couples optimization-based electric bus scheduling with agents for disturbance detection and tariff adaptation, evaluated in a depot case study that shows feasible adaptive coordination but a profit-oriented trade-off that can extract value from the PTO.
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Explainable Artificial Intelligence Techniques for Interpretation of Food Models: a Review
A survey proposing a taxonomy of XAI techniques for food quality research organized by data types and explanation methods.