The paper surveys EV charging literature through a Planning-Scheduling-Behavior framework and diagnoses a fidelity-tractability trilemma in cross-layer integration.
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2 Pith papers cite this work. Polarity classification is still indexing.
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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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Planning, Scheduling, and Behavior in EV Charging Systems: A Critical Survey and Trilemma Framework
The paper surveys EV charging literature through a Planning-Scheduling-Behavior framework and diagnoses a fidelity-tractability trilemma in cross-layer integration.
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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.