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Green scheduling: Scheduling of control systems for peak power reduction
Truong Nghiem
, Madhur Behl
, George J. Pappas
, Rahul Mangharam
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
25
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Scopus citations
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Dive into the research topics of 'Green scheduling: Scheduling of control systems for peak power reduction'. Together they form a unique fingerprint.
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Keyphrases
Control System
100%
Peak Power Reduction
100%
Green Scheduling
100%
Peak Power
75%
Energy Demand
50%
System Dynamics
50%
Hybrid Automata
50%
Environmental Variables
25%
Temporal Parameters
25%
System Variables
25%
Large Classes
25%
Climate Environment
25%
Scheduling Problem
25%
Demand Surge
25%
Execution Time
25%
Model Predictive Control
25%
Geometric Interpretation
25%
Scheduling Approach
25%
Time Profile
25%
Scheduling Policy
25%
Feasibility Conditions
25%
Plant Dynamics
25%
Quality Control System
25%
Load Shifting
25%
Power Price
25%
Real-time Scheduling Theory
25%
Load Model
25%
Heating Quality
25%
Heating-cooling
25%
Air Quality Control
25%
Computer Science
System Dynamics
100%
Hybrid Automaton
100%
Predictive Model
50%
Scheduling Problem
50%
Execution Time
50%
Geometric Interpretation
50%
Real Time Scheduling
50%
Temporal Parameter
50%
Scheduling Theory
50%
Environmental Variable
50%
Scheduling Policy
50%
Engineering
Control System
100%
Peak Power
100%
Energy Engineering
40%
Systems Dynamics
40%
Hybrid Automaton
40%
Tasks
20%
Quality Control
20%
Air Quality
20%
Execution Time
20%
Predictive Control Model
20%
Environmental Variable
20%
Load Shifting
20%
Scheduling Policy
20%
Chemical Engineering
Predictive Control Model
100%