Skip to main navigation
Skip to search
Skip to main content
Heriot-Watt Research Portal Home
Help & FAQ
Home
Profiles
Research units
Research output
Datasets
Impacts
Equipment
Prizes
Activities
Press/Media
Courses
Search by expertise, name or affiliation
A methodology to assess the economic impact of power storage technologies
Timothy Johnson
,
Laila El Ghandour
Actuarial Mathematics & Statistics
School of Mathematical & Computer Sciences
Research output
:
Contribution to journal
›
Article
›
peer-review
4
Citations (Scopus)
70
Downloads (Pure)
Overview
Fingerprint
Profiles
(1)
Fingerprint
Dive into the research topics of 'A methodology to assess the economic impact of power storage technologies'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
INIS
storage
100%
power
100%
economic impact
100%
data
33%
complement
33%
risks
33%
values
33%
reduction
33%
stochastic processes
33%
carbon
33%
output
33%
policy
33%
renewable energy sources
33%
power generation
33%
storage facilities
33%
compressed air
33%
Mathematics
Classical Approach
100%
Stochastic Process
100%
Risk Model
100%
Observed Data
100%
Engineering
Power Storage
100%
Observed Data
33%
Policy Maker
33%
Power Generation
33%
Risk Model
33%
Storage Facility
33%
Renewable Energy
33%
Compressed Air
33%