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HubNet: Research Leadership and Networking for Energy Networks (Extension)
Dent, Chris
(Principal Investigator)
School of Mathematics
Overview
Fingerprint
Research output
(2)
Project Details
Status
Finished
Effective start/end date
12/09/16
→
30/09/18
Funding
EPSRC:
£133,460.00
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Thyristors
Engineering & Materials Science
100%
Diodes
Engineering & Materials Science
88%
Electricity
Engineering & Materials Science
70%
Uncertainty
Engineering & Materials Science
60%
Electric potential
Engineering & Materials Science
49%
Power semiconductor diodes
Engineering & Materials Science
26%
Semiconductor devices
Engineering & Materials Science
22%
Controllability
Engineering & Materials Science
20%
Research output
Research output per year
2018
2018
2019
2019
2
Article
Research output per year
Research output per year
Thyristor/Diode-Bypassed Sub-Module Power-Groups for Improved Efficiency in Modular Multilevel Converters
Judge, P. D.
,
Merlin, M. M. C.
,
Green, T. C.
,
Trainer, D. R.
&
Vershinin, K.
,
Feb 2019
,
In:
IEEE Transactions on Power Delivery.
34
,
1
,
p. 84-94
11 p.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Thyristors
100%
Diodes
88%
Electric potential
49%
Power semiconductor diodes
26%
Semiconductor devices
22%
Quantifying uncertainty in wholesale electricity price projections using Bayesian emulation of a generation investment model
Wilson, A.
,
Dent, C.
&
Goldstein, M.
,
1 Mar 2018
,
In:
Sustainable Energy, Grids and Networks.
13
,
p. 42-55
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Electricity
100%
Uncertainty
85%
Probability distributions
25%
Gases
15%
Statistical Models
12%