Skip to main navigation
Skip to search
Skip to main content
NYU Scholars Home
Help & FAQ
Home
Profiles
Research units
Research output
Search by expertise, name or affiliation
Risk- and variance-aware electricity pricing
Robert Mieth, Jip Kim, Yury Dvorkin
Electrical and Computer Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Risk- and variance-aware electricity pricing'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
System State
100%
Renewable Energy
100%
Electricity Pricing
100%
Electricity Price
50%
Stochasticity
50%
Energy Reserves
50%
Duality Theory
50%
Reserve Price
50%
Power System Operation
50%
Chance-constrained
50%
Optimal Power Flow Model
50%
Optimal Power Flow
50%
Stochastic Renewable Generation
50%
Conic Duality
50%
Power Market Operation
50%
Balancing Reserves
50%
Source Uncertainties
50%
Engineering
Renewable Energy Source
100%
System State
66%
State Variable
66%
Energy Engineering
33%
Nodes
33%
Power Engineering
33%
Flow Model
33%
Electricity Price
33%
AC Optimal Power Flow
33%
Mathematics
Variance
100%
State Variable
50%
System State
50%
Stochastics
25%
Duality Theory
25%
Economics, Econometrics and Finance
Pricing
100%