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High Energy and Power Density (HEAPD) Solutions to Large Energy Deficits
Dent, Chris
(Principal Investigator)
School of Mathematics
Overview
Fingerprint
Research output
(1)
Project Details
Status
Finished
Effective start/end date
12/09/16
→
29/12/17
Funding
EPSRC:
£243,880.00
View all
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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.
Electricity
Engineering & Materials Science
100%
Uncertainty
Engineering & Materials Science
85%
Probability distributions
Engineering & Materials Science
25%
Gases
Engineering & Materials Science
15%
Statistical Models
Engineering & Materials Science
12%
Sensitivity analysis
Engineering & Materials Science
12%
Coal
Engineering & Materials Science
11%
Trajectories
Engineering & Materials Science
9%
Research output
Research output per year
2018
2018
2018
1
Article
Research output per year
Research output per year
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%