Hypergraph Network Optimizes Solar Electric Vehicle Charging in Grid Simulation Study
A simulation study shows that a hypergraph-based control network enhances power flow and efficiency for solar-integrated electric vehicle charging stations.
A simulation study shows that a hypergraph-based control network enhances power flow and efficiency for solar-integrated electric vehicle charging stations.
A physics-based modeling study shows that pairing a thirty-kilowatt-hour sodium-ion battery with a compact motorcycle engine generator cuts vehicle mass, ...
A hybrid bee-colony and genetic algorithm with physics-informed neural network screening plans electricity dispatch in wind-, solar-, and electric-vehicle-rich grids ...
An online Gaussian-process controller that tightens its own safety limits based on prediction uncertainty retained 4.3 percentage points more battery ...
A theoretical modelling study suggests a 100-bus TransJakarta depot could shave 4.25 MWh of peak demand over two hours while ...
A new network-based assessment framework quantifies how well electric vehicles, charging stations, aggregators and distribution grids coordinate, showing that enhanced ...
A simulation study of a weak 22 kV feeder in Phongsaly, Laos, finds that a synchronized fleet of 784 electric ...
A new bi-level optimization framework coordinates solar generation, battery storage, and vehicle-to-grid electric vehicle fleets, cutting a charging station's evening ...
An Italian optimization study shows that bidirectional electric vehicle fleets can cut community energy costs by up to 52 percent ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine