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EP/K00557X/1 - Optimal Prediction in Local Electricity Markets

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Dr J Moriarty EP/K00557X/1 - Optimal Prediction in Local Electricity Markets

Fellow - Mathematics, The University of Manchester

Scheme

EPSRC Fellowship

Research Areas

Energy Networks Energy Networks

Mathematical Aspects of Operational Research Mathematical Aspects of Operational Research

Statistics and Applied Probability Statistics and Applied Probability

Start Date

02/2013

End Date

01/2017

Value

£569,611

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Grant Description

Summary and Description of the grant

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.

Structured Data / Microdata


Grant Event Details:
Name: Optimal Prediction in Local Electricity Markets - EP/K00557X/1
Start Date: 2013-02-01T00:00:00+01:00
End Date: 2017-01-31T00:00:00+01:00

Organization: The University of Manchester

Description: 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 ...