A strategy to optimize the multi-energy system in microgrid based on neurodynamic algorithm.
Xinxin FangXing HeJunjian HuangPublished in: Appl. Soft Comput. (2019)
Keyphrases
- objective function
- computational complexity
- detection algorithm
- preprocessing
- high accuracy
- dynamic programming
- learning algorithm
- single pass
- input data
- similarity measure
- least squares
- k means
- improved algorithm
- selection algorithm
- computationally efficient
- times faster
- genetic algorithm
- recognition algorithm
- convergence rate
- path planning
- monte carlo
- segmentation method
- ant colony optimization
- segmentation algorithm
- theoretical analysis
- particle swarm optimization
- optimal solution
- linear programming
- markov random field
- worst case