A novel movable partitions approach with neural networks and evolutionary algorithms for solving the hydroelectric unit commitment problem

Keyphrases

• Neural Network Algorithm 100%
• Evolutionary Algorithms 100%
• Hydroelectric Unit 100%
• Unit Commitment Problem 100%
• Partitioning Strategy 100%
• Production Function 33%
• Neural Network 33%
• Power Output 33%
• Commitment Strategy 33%
• Differential Evolution 33%
• Particle Swarm Optimization Algorithm 33%
• Water Consumption 33%
• Operation Optimization 33%
• Equality Constraints 33%
• Operation Point 33%
• Point Differential 33%
• Desired Power 33%
• Optimization Modeling 33%

Computer Science

• Neural Network 100%
• Network Algorithm 100%
• Unit Commitment 100%
• Evolutionary Algorithm 100%
• Differential Evolution 33%
• particle swarm optimization algorithm 33%
• Equality Constraint 33%
• Point Operation 33%

Engineering

• Unit Commitment 100%
• Production Function 50%
• Power Output 50%
• Particle Swarm Optimization 50%
• Point Operation 50%
• Equality Constraint 50%