Study for the Improvement of the Energy Storage System Efficiency Using Auto Level-Tuning Algorithm.
Won Seok ChoiKyoung-Bok LeeSeounng-Gil BaekGildong KimHan-Min LeeKyu-Joong KimPublished in: FGIT-CA/CES3 (2011)
Keyphrases
- computational complexity
- computationally efficient
- matching algorithm
- high efficiency
- dynamic programming
- learning algorithm
- times faster
- simulation study
- recognition algorithm
- improved algorithm
- k means
- experimental evaluation
- parameter tuning
- worst case
- experimental study
- simulated annealing
- linear programming
- optimization algorithm
- expectation maximization
- computational efficiency
- particle swarm optimization
- data sets
- computational cost
- search space
- preprocessing
- data structure
- objective function
- particle filter
- clustering method
- high accuracy
- classification algorithm
- probabilistic model
- artificial neural networks
- convergence rate
- search algorithm
- single scan