DF

优秀论文及配套源码。首先阐述了负荷预测的应用研究现状，概括了负荷预测的特点及其影响因素，归纳了短期负荷预测的常用方法，并分析了各种方法的优劣；接着介绍了作为支持向量机（SVM）理论基础的统计学习理论和SVM的原理，推导了SVM回归模型；本文采用最小二乘支持向量机（LSSVM）模型，根据浙江台州某地区的历史负荷数据和气象数据，分析影响预测的各种因素，总结了负荷变化的规律性，对历史负荷数据中的“异常数据”进行修正，对负荷预测中要考虑的相关因素进行了归一化处理。LSSVM中的两个参数对模型有很大影响，而目前依然是基于经验的办法解决。对此，本文采用粒子群优化算法对模型参数进行寻优，以测试集误差作为判决依据，实现模型参数的优化选择，使得预测精度有所提高。实际算例表明，本文的预测方法收敛性好、有较高的预测精度和较快的训练速度。(first expounds the recent application research of load forecasting, summarized the characteristics of load forecasting and influencing factors, summed up common methods of short-term load forecasting, and analyzed the advantages and disadvantages of each method then introduced statistical learning theory and the principle of SVM as the basis of support vector machine (SVM ) theory, SVM regression model is derived this paper adopted least squares support vector machine (LSSVM) model, according to the historical load data and meteorological data of a certain area of Zhejiang Taizhou, Analysised the various factors affecting the forecast, summed up the regularity of load change , amended "outliers" in the historical load data,the load forecasting factors to be considered were normalized. The two parameters of LSSVM have a significant impact on the model, but it is still soluted based on the experience currently. So, this paper adopted particle swarm optimization algorithm to optimized )

说明：  fuzzycontrol 非常好的广义预测，多多多关照。。。下载。。。(fuzzycontrol is very good。)

实现普通离散型数据的贝叶斯分类，不带权重。(The general discrete data Bayesian classifier, without the weight.)

基于matlab实现人脸识别的稀疏表示SRC算法(Implementation of sparse representation SRC algorithm)

说明：  微电网仿真模型，可以完美运行，包含多个分布式电源(Microgrid simulation model)

数学建模的程序，用于绘制多元因素的图，2011年建模的程序(Mathematical modeling procedures, multiple factors used to draw maps, 2011 modeling procedures)

15为ADC在simulink环境下的建模(model of 15bit adc in simulink)

加速度感应器的实现，重力加速度感应，感应器的DEmo(Implementation of the acceleration sensor, gravity sensor, the sensor DEmo)

Leach Protocol Script

stc alamouti 2*2 for a MIMO system