Here we describe an electronic system that uses a dedicated water-level sensor to switch off the pump motor as soon as the ...

Abstract: This letter proposes a sparse identification of nonlinear dynamics—physics informed neural network—particle swarm optimization algorithm for optimizing the air-gap design of transformers ...

This repository implements Physics-Informed Neural Networks (PINNs) for power grid analysis and renewable energy applications. The project combines deep learning with physical constraints to solve ...

Abstract: Creating machine learning techniques to solve AC optimal power flow (ACOPF) problems in power systems requires datasets that are difficult to obtain, do not easily adjust to changing network ...

Follow the full-year reporting season as it unfolds, with dates for all the major ASX-listed companies and links to our expert, up-to-date coverage. Australia’s sharemarket is about to notch a third ...