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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
Pareto solution
biblio
Multi-objective dynamic unit commitment optimization for energy-saving and emission reduction with wind power
Submitted by grigby1 on Wed, 03/08/2017 - 1:54pm
satisfaction-maximizing decision
NSGA-D
NSGA-II algorithm
optimization
Pareto optimisation
Pareto solution
pollution emission
power generation dispatch
power generation scheduling
pubcrawl170110
nondominated sorting genetic algorithm-II
SO2
Spinning
sulphur compounds
unit commitment optimization
Wind power generation
wind power integrated system
wind power plants
Wind speed
wind turbines
fuzzy satisfaction-maximizing method
carbon compounds
CO2
commitment discrete magnitude
double optimization
double-optimization strategy
emission reduction
energy-saving
energy-saving and emission reducing
fault time
air pollution
fuzzy set theory
genetic algorithms
Heuristic algorithms
Linear programming
load distribution
mixed-integer variable
multi-objective
multiobjective dynamic unit commitment optimization
multiobjective unit commitment modeling
