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Scheduling power consumption with price uncertainty
Tùng T. Kim,
H. Vincent Poor
Electrical and Computer Engineering
High Meadows Environmental Institute
Research output
:
Contribution to journal
›
Article
›
peer-review
254
Scopus citations
Overview
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Dive into the research topics of 'Scheduling power consumption with price uncertainty'. Together they form a unique fingerprint.
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Keyphrases
Power Consumption
100%
Statistical Knowledge
100%
Price Uncertainty
100%
Numerical Results
50%
Modeling Parameters
50%
Markov Decision Process
50%
Decision Threshold
50%
Scheduler
50%
Scheduling Problem
50%
Economic Advantage
50%
Futures Prices
50%
Price Data
50%
Electricity Price
50%
Optimal Decision
50%
Scheduling Policy
50%
Current Prices
50%
Deadline Constraint
50%
Expected Cost
50%
Online Parameter Estimation
50%
Interruptible Load
50%
Consumer Side
50%
Mismatch Modeling
50%
Past Price
50%
Real Prices
50%
Engineering
Electric Power Utilization
100%
Tasks
50%
Parameter Estimation
50%
Scheduling Policy
50%
Optimal Decision
50%
Markov Decision Process
50%
Interruptible Load
50%
Economic Advantage
50%
Computer Science
Power Consumption
100%
Decision Threshold
50%
Scheduling Problem
50%
Parameter Estimation
50%
Markov Decision Process
50%
Scheduling Policy
50%
Social Sciences
Energy Consumption
100%
Time Period
50%
Decision Process
50%
Economics, Econometrics and Finance
Scheduling Problem
100%