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We have 20 distributed generation PhD Projects, Programmes & Scholarships
distributed generation PhD Projects, Programmes & Scholarships
We have 20 distributed generation PhD Projects, Programmes & Scholarships
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Potentials of Electric Vehicles and Heat Pumps for the Voltage Control Strategy of the Modern Distribution Networks
REFERENCE NUMBER. Project Reference Number. SCEBE-22SF-EVHPMDN-Nazir. Please use select the reference number above or refer to the project number if applying via a prospective applicant route. Read more
Self-Optimised Power Converters for Grid-Scale Battery Energy Storage Systems
The stochastic nature of distributed generation from renewable energy sources has created problems in the power distribution system. Read more
International PhD Studentships in Next Generation Distributed Systems
The School of Computer Science at the University of St Andrews hosts the Edge Computing Hub (https://edgehub.co.uk). The Hub conducts world-class research for addressing systems-oriented challenges in edge computing and at its intersection with machine learning. Read more
Methods and tools for the verification of plug-and-produce robots in distributed manufacturing systems
Research Group:
Applied Computing
The competitiveness of manufacturing companies in modern markets increasingly depends on cost-effective flexible automation technologies. Read more
Advancing Multi-Agent Approaches to Intelligent Smart Grid Control
Overview of the Opportunity. The University of Strathclyde’s Department of Electronic and Electrical Engineering is offering a 3 year fully funded PhD in the field of AI for Smart Grids. Read more
Artificial Intelligence enabled Distributed Edge-Centric Cellular Networks
Today, wireless cellular networks rely heavily on the core network to deliver services. This introduces latency and other inefficiencies. Read more
Hybrid Wind and Photovoltaic Power Generation with Energy Storage
This project will investigate advanced strategies for the design, integration and optimization of hybrid wind/photovoltaic/battery systems for distributed power generation. Read more
Designing the next generation of 3D-printers using Robotics, Computer Vision and Artificial Intelligence
REFERENCE NUMBER. Please select SCEBE/22SF/Parrilla. BACKGROUND AND AIMS. In this project you will design the next generation of 3D-printers. Read more
Modelling of buoyancy control for new generation aircraft
Aircraft research is in a state of transition, with a much broader range of possible new aircraft technologies under investigation than ever before. Read more
Robust Video Tracking in Difficult Environments
The project is to contribute to a major Ministry of Defence (MOD) research programme intended to develop generation after next technologies for applications in defence and security, and this project will be co-funded by Thales. Read more
Novel Machine Learning for Forecasting PV output
The rapid proliferation of wind and solar installations, coupled with the growing impact of climate change on the volatile UK weather, creates formidable operable challenges for the UK electricity Grid. Read more
Model of Energy Demand and Carbon Reduction for Control of Energy Storage
The techniques of Control Theory, Artificial Intelligence and Statistical Data Analysis have been applied to engineering systems with great success, and the resulting is better energy efficiency using storage. Read more
EPSRC Centre for Doctoral Training in Renewable Energy Northeast Universities
ReNU is an added value doctoral training programme that will create the next generation of specialists in small scale renewable and sustainable distributed energy applications. Read more
EPSRC Centre for Doctoral Training in Renewable Energy Northeast Universities
ReNU is an added value doctoral training programme that will create the next generation of specialists in small scale renewable and sustainable distributed energy applications. Read more
EPSRC Centre for Doctoral Training in Renewable Energy Northeast Universities
ReNU is an added value doctoral training programme that will create the next generation of specialists in small scale renewable and sustainable distributed energy applications. Read more
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