Hybrid bee–genetic algorithm tames power flow in renewable and EV grids
A hybrid bee-colony and genetic algorithm with physics-informed neural network screening plans electricity dispatch in wind-, solar-, and electric-vehicle-rich grids ...
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 ...
In the relentless pursuit of sustainable urban development, the integration of vehicle-to-grid (V2G) technologies emerges as a groundbreaking frontier, particularly ...
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