| EPSRC Reference: |
EP/K00557X/2 |
| Title: |
Optimal Prediction in Local Electricity Markets |
| Principal Investigator: |
Moriarty, Professor J |
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| Department: |
Sch of Mathematical Sciences |
| Organisation: |
Queen Mary University of London |
| Scheme: |
EPSRC Fellowship |
| Starts: |
01 September 2015 |
Ends: |
25 April 2017 |
Value (£): |
214,718
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| EPSRC Research Topic Classifications: |
| Mathematical Aspects of OR |
Statistics & Appl. Probability |
| Sustainable Energy Networks |
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| EPSRC Industrial Sector Classifications: |
| Financial Services |
Energy |
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Summary on Grant Application Form |
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Over the next four years this Fellowship aims to build an internationally leading research team in stochastic modelling of local energy markets. The Fellow and researcher will develop theory and numerical methods to solve emerging mathematical problems in UK power systems, with a focus on modelling the community scale, in order to achieve the maximum welfare benefit from the design of these markets. The research programme will be carried out in the context of the Fellow's existing Energy group, which includes three PhD students working in power systems and energy storage. This work will involve fruitful interactions with other probabilists in the UK, power systems engineers in the UK, US and Canada, and UK industry experts working on such problems. It will have significant impact through the creation of algorithms and software, enabling the efficient numerical solution of planning and operational problems for local electricity markets. A longer term impact will be to further establish Manchester (and the UK) as a centre for talented researchers in cross-disciplinary applications of probability theory to power systems.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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