文件名称:Current methods and advances in forecasting
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- matlab例程
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- 2017-12-13
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- 274kb
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Comparisons between stochastic and deterministic Unit
Commitment solutions are provided. The generation of Unit
Commitment solution is guaranteed by DEEPSO, which is a
hybrid DE-EA-PSO algorithm, where DE stands for Differential
Evolution, EA for Evolutionary Algorithms and PSO for Particle
Swarm Optimization. For the calculation of the optimal economic
dispatch an algorithm based on the Benders Decomposition,
combining the Dual Dynamic Programming, was developed.
Results show that the stochastic approach leads to more ro
Commitment solutions are provided. The generation of Unit
Commitment solution is guaranteed by DEEPSO, which is a
hybrid DE-EA-PSO algorithm, where DE stands for Differential
Evolution, EA for Evolutionary Algorithms and PSO for Particle
Swarm Optimization. For the calculation of the optimal economic
dispatch an algorithm based on the Benders Decomposition,
combining the Dual Dynamic Programming, was developed.
Results show that the stochastic approach leads to more ro
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下载文件列表
| 文件名 | 大小 | 更新时间 |
|---|---|---|
| Current methods and advances in forecasting.pdf | 347359 | 2017-11-29 |