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. This project aims to develop solutions that will help EV Owners and Fleet Managers with smart charging/discharging decisions and aggregation of EV resources to support the grid. Project description
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. #sustainability Project description For distributed renewable micro-grids to become a mature technology, the economics and the reliability have to be equal to or better than today’s distribution grids. The PhD
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the shortcomings of these techniques, deep learning is more and more involved in static vulnerability localization and improving fuzzing efficiency. This project aims to deliver a smart software vulnerability
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- Specialisation Launch Scholarship is for commencing students in the Master of Engineering, - Renewable Energy Engineering, Smart Manufacturing Engineering and Engineering Management specialisations, and any
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the race against climate change in various sectors, largely reshaping the energy landscape. The digitalisation of the grid enables real-time interactions between consumers and the grid, and generates a large
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capture or projection Machine learning analysis of data from smart building systems Spatio-temporal visualisation of electrical loads on smart grids using Virtual Reality In-Situ AR visualisation of data
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Engineering, Renewable Energy Engineering, Smart Manufacturing Engineering and Engineering Management specialisations. This merit based scholarship is designed to support students seeking to tackle global
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Centre for Electron Microscopy (MCEM) is a central university research platform and is part of the national grid of Microscopy Australia facilities. Its mission is to enable and advance research excellence
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a fast charger, up to hours with a slow one. The drawback of fast chargers is that they are more costly and that it only takes a few of them to generate a substantial load on the current grid
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levels for manufacturing, routing delivery trucks for transport, scheduling power stations and electricity grids, to name just a few. In recent years, deep learning is showing startling ability