搜索资源列表
lbg
- 随着新的数学工具小波分析的实用化为基于NN负荷预测模型性能的改善提供了理论依据对于电力系统负荷非线性时间序列的辨识在预测方法研究中应给予重视在本文所用的基于小波原理和NN融合的预测原理是具有强的非线性-With the new mathematical tools of wavelet analysis into practical load forecasting model based on the performance of NN provides a theoretical basis
GM
- 用C#写的电力负荷预测,灰色预测源代码!-Using C# to write load forecasting, gray prediction source code!
xiaobo
- 建立小波神经网络负荷预测模型,并对小波神经网络的节点(输入层、中间层、输出层)进行选择,并选用合适的小波神经网络的训练函数,提高收敛速度和负荷预测精度。-The establishment of wavelet neural network load forecasting model, and wavelet neural network nodes (input layer, middle layer, output layer) to select and choose the appro
LoadPriceForecastingFileExchange
- 基于matlab的小波神经网络电力负荷预测 -electrical power load forecasting
采用遗传算法和人工神经网络对短期负荷做出预测
- 用于负荷预测和风电与光伏预测,算法精度高,易于实现。(For load forecasting and wind power and photovoltaic forecasting, the algorithm is accurate and easy to implement.)
yucemoxing
- matlab应用关于Elman神经网络的数据预测(Matlab Application on data prediction of Elman neural network)
svmcx调试成功
- SVM安装包 安装之后可以进行 分类或者回归预测(SVM installation package can be classified or regression prediction after installation)
ARIMA
- 可以很好的预测数据,程序代码简单可靠好用(Good prediction of data, the program code is simple and reliable easy to use.)
基于MATLAB的供热负荷调节方法
- 运行优化的相关算法和电力负荷预测的程序,有全套的数据和输出结果(Relevant algorithm of operation optimization and program of power load forecasting)
lssvm-iron
- 使用lssvm预测钢铁行业电量,使用于电力负荷预测人员使用(Using LSSVM to predict the power of iron and steel industry)
LVQ神经网络的预测——人脸朝向识别
- Elman神经网络的数据预测----电力负荷预测模型研究(Intelligent algorithm, neural network, Elman neural network, data prediction, power load forecasting model.)
Elman网络模型
- Elman神经网络的数据预测—电力负荷预测模型研究,非常不错的神经网络(Elman neural network data prediction power load forecasting model research, a very good neural network.)
LoadForecastingAustralia
- 澳大利亚电力负荷与价格预测,用于功率预测的数据输入(Electricity Load & Price Forecasting for the Australian Market)
fhqx
- 给出了一组合理的负荷需求数据。用于电力系统负荷预测。(A set of reasonable load demand data is given.For power system load forecasting.)
BP
- 应用BP神经网络预测电力负荷。代码详解。适合毕业设计,课设(Prediction of Electric Load Based on BP Neural Network)
GAbp
- 遗传算法改进的bp神经网络精准预测符合数据(Precision prediction coincidence data of BP neural network improved by genetic algorithm)
Elman神经网络预测电力负载
- Elman神经网络建立建筑物电力负荷预测模型中遇到的几个关键问题有,数据归一化处理、输入输出样本的选取、隐含层节点数的确定;分别建立Elman神经网络模型,并利用某栋建筑物实际历史电力负载数据进行预测,分析比较与实际数据值的预测精度,得出了一个有效的数据预测模型。(Several key problems encountered in building power load forecasting model based on Elman neural network are data norm
Load1997
- 2001年欧洲智能技术网络组织了一次电力负荷预测竞赛,提供了历史负荷数据、节假日数据和气象数据,对学习负荷预测有帮助(In 2001, the European intelligent technology network organized a power load forecasting competition, providing historical load data, holiday data and meteorological data, which is helpful for
电力负荷组合预测
- 基于svM以及时间序列法的短期电力负荷预测,MATLAB源代码 谢谢
lstm回归预测模型
- 长短时记忆神经网络回归预测模型,可做负荷预测,能耗预测,股票预测等。