资源列表
case5
- 2机5节点系统，可实现简单牛拉法，快速解耦法迭代潮流计算(2-machine 5-node system can realize simple Niula method and fast decoupling method to iterate power flow calculation)
直流潮流
- 计算直流潮流的算法，基于MATLAB，忽略无功功率，只考虑有功功率。(DC Power Flow Algorithms)
Nmpc
- 对于学习mpc控制有帮助，可以参考学习，对后面的深入了解有帮助(It is helpful for learning MPC control)
蚁群聚类
- matlab编程的蚁群聚类算法，可以运行(The ant colony clustering algorithm programmed by Matlab can run)
matlab 代码
- 这是一份完善的管壳式气-气换热器设计型计算代码示例。(This is a Heat Exchanger Designer Matlab Code Sample for Chemical Engineering Design Area.)
Sample2
- 量化 交易 代码，基于wind数据和matlab计算平台。是学习量化投资和程序化交易的很好的例子。安装wind软件和matlab后可编译执行。(Quantitative trading code, based on wind data and MATLAB computing platform. It is a good example of learning quantitative investment and procedural trading. After installing win
Sample4
- 量化 交易 示例代码4，基于wind数据和matlab计算平台。是学习量化投资和程序化交易的很好的例子。安装wind软件和matlab后可编译执行。(Quantitative trading code, based on wind data and MATLAB computing platform. It is a good example of learning quantitative investment and procedural trading. After installing
Sample5
- 量化 交易 代码 实例程序5，基于wind数据和matlab计算平台。是学习量化投资和程序化交易的很好的例子。安装wind软件和matlab后可编译执行。(Quantitative trading code, based on wind data and MATLAB computing platform. It is a good example of learning quantitative investment and procedural trading. After installi
Sample16
- 量化 交易 代码 示例程序16，基于wind数据和matlab计算平台。是学习量化投资和程序化交易的很好的例子。安装wind软件和matlab后可编译执行。(Quantitative trading code, based on wind data and MATLAB computing platform. It is a good example of learning quantitative investment and procedural trading. After install
Sample21
- 量化 交易 代码 实例程序21，基于wind数据和matlab计算平台。是学习量化投资和程序化交易的很好的例子。安装wind软件和matlab后可编译执行。(Quantitative trading code, based on wind data and MATLAB computing platform. It is a good example of learning quantitative investment and procedural trading. After install
arima
- ARIMA基础代码，可根据已有的数据对数据可能走向进行预测预测。(ARIMA basic code, can achieve prediction.)
PV_buck_boost_mppt
- 此仿真是风力发电直流侧斩波控制simulink仿真(This simulation is the wind power dc side chopper control simulink simulation)