Controlled Self-organization for Steering Local Multi-objective Optimization in Virtual Power Plants.
Jörg BremerSebastian LehnhoffPublished in: PAAMS (Workshops) (2020)
Keyphrases
- multi objective optimization
- power plant
- multi objective
- evolutionary algorithm
- electric power
- soft computing
- soft sensor
- pareto optimal
- coal fired
- genetic algorithm
- carbon dioxide
- multi objective optimization problems
- multiple objectives
- fault diagnosis
- power generation
- nsga ii
- public institutions
- multi objective genetic algorithms
- wind speed
- decision support system
- wind power
- multiobjective optimization
- multi objective genetic algorithm
- differential evolution
- objective function
- machine learning
- databases
- computational intelligence
- pareto optimal set
- historical data
- bi objective
- intelligent systems
- particle swarm optimization
- knowledge discovery
- pattern recognition
- knowledge base
- data mining
- neural network