Start date of studentship: 01 Oct 2021
The energy sector is undergoing a fundamental transformation as ever more smart metering infrastructure is being deployed, producing data at unprecedented scale and resolution. This data has enormous potential in terms of decarbonising the sector, however it is challenging in terms of scale and complexity. This project will develop new methods of smart meter data analysis to generate insights on energy consumption patterns and improve our understanding of opportunities for decarbonisation. The student undertaking the project will work directly with large smart meter datasets and will be supervised by experts in the field. They will also have access to a wider network of world-leading research in sustainable energy through the Centre for Renewable Energy Systems Technology (CREST) at Loughborough University. They will also benefit from comprehensive support and guidance from our Doctoral College, including tailored careers advice, to help you succeed in your research and future career.
Find out more: http://www.lboro.ac.uk/study/postgraduate/supporting-you/research/
This PhD aims at developing novel methods of smart meter data analysis to generate insights into energy consumption patterns which can ultimately improve the sustainability of the energy sector. Other data may also be included where applicable, including weather data, census and demographic data, surveys and geospatial data. The methods explored include, but are not limited to, machine learning, statistical inference, pattern recognition, geospatial analysis and data visualisation. The research will predominantly focus on domestic energy consumption patterns in both the short and long term, including the impact of new low-carbon technologies such as heat pumps and electric vehicles. As such, potential research contributions range from new theoretical frameworks to demonstrations of real-world applicability.
Find out more:
Centre for Renewable Energy Systems Technology at Loughborough University: https://www.lboro.ac.uk/research/crest/
Entry requirements:
Applicants should have, or expect to achieve:
· at least a 2:1 Honours degree (or equivalent) in Engineering, Maths, Statistics, Computer Science or another relevant subject.
· A relevant Master’s degree and/or experience in one or more of the following will be an advantage: Maths, Engineering, Statistics, Computer Science, Renewable Energy, Building Energy Consumption or another relevant discipline.
· Excellent numerical reasoning skills
· Programming experience in one or more languages
· A general understanding of the broader energy system
All applications should be made online at http://www.lboro.ac.uk/study/apply/research/. Under programme name, select ‘Mechanical and Manufacturing’. Please quote reference number: SAM21/12.
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