A spatiotemporal EV energy model shows traffic-extended trip duration dominates HVAC variability over temperature in UK cities, producing an interpretable closed-form HVAC equation from ambient temperature, average speed, and trip distance.
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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.
A hybrid MILP-NLP-complementarity decomposition solved via spatial/temporal ADMM yields up to 13x speedup on unbalanced AC power flow-constrained DES design for networks with 55 loads, with maximum 0.61% optimality gap.
Energy system modeling shows methanol backstop increases costs 2.4% over hydrogen in high-electrification carbon-neutral scenarios while simplifying logistics.
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Compound effects of traffic and climate on electric vehicle HVAC energy consumption: a spatiotemporal framework with city-level attribution
A spatiotemporal EV energy model shows traffic-extended trip duration dominates HVAC variability over temperature in UK cities, producing an interpretable closed-form HVAC equation from ambient temperature, average speed, and trip distance.
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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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Distributed Energy System Design including Unbalanced AC Power Flow for Large LV Networks with ADMM
A hybrid MILP-NLP-complementarity decomposition solved via spatial/temporal ADMM yields up to 13x speedup on unbalanced AC power flow-constrained DES design for networks with 55 loads, with maximum 0.61% optimality gap.
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A Minimal Methanol Backstop for High Electrification Scenarios
Energy system modeling shows methanol backstop increases costs 2.4% over hydrogen in high-electrification carbon-neutral scenarios while simplifying logistics.
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