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Australia's long-term electricity demand forecasting using deep neural networks
Accurate prediction of long-term electricity demand has a significant role in demand side management and electricity network planning and operation.
Electric Vehicle E-hailing Fleet Dispatching and Charge Scheduling
With recent developments in vehicle and battery technologies, electric vehicles (EVs) are rapidly getting established as a sustainable alternative to traditional fossil-fuel vehicles.
Reinforcement Learning with Adaptive Control Regularization for Safe Control of Critical Systems
Reinforcement Learning (RL) is a powerful method for controlling dynamic systems, but its learning mechanism can lead to unpredictable actions that undermine the safety of critical systems.
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