搜索资源列表
qpso
- 采用基于量子粒子群算法来计算电力系统无功优化-Based on the quantum particle swarm algorithm to compute reactive power optimization
1
- 粒子群优化算法源程序,适用于电力系统方面,初学者可看-PSO source for the power system, beginners can see
UpdateVel
- 利用粒子群算法对电力系统的潮流分布进行优化,判断当前位置是否是该单个粒子历史上最佳位置-Using particle swarm algorithm optimize the trend of distribution power system, determine whether the current position is the best position in the history of individual particles
电力系统粒子群优化算法
- 可以实现在电力系统中,特别是微电网领域的粒子群优化(MATLAB program for Particle Swarm optimization)
pso-svm电力负荷预测
- 电力负荷预测是电力系统规划的重要组成部分,也是电力系统经济运行的基础,其对电力系统规划和运行都极其重要。利用粒子群算法优化支持向量机更加高效准确预测电力负荷。(The power load forecasting is an important part of the power system planning, and it is also the basis of the economic operation of the power system. It is very important
83390062chengxu
- 利用matlab语言和软件采用粒子群优化算法解决电力系统无功优化问题(Using MATLAB language and software to solve reactive power optimization problem in power system by particle swarm optimization)
PSO7
- PSO粒子群优化算法优化电力系统总能量,求全局最小值。(PSO particle swarm optimization algorithm optimizes the total energy of the power system to find the global minimum.)