搜索资源列表
fuhe
- 本程序是采用遗传算法和人工神经网络对短期负荷做出预测,具体说明将压缩包解压即可看到-this program is using genetic algorithms and artificial neural networks for short-term load forecasts, specific notes will be compressed decompression can be seen
wavenoise
- 使用小波熵法对电力负荷时间序列进行预测。-using wavelet entropy method of load time series prediction.
zhishuyc
- 用matlab实现的自回归时间序列预测电力短期负荷,已经用于实际的工程-using Matlab achieved since reunification time series forecasting electricity short-term load, has been used for the actual project
glhundungrnn
- 用混沌理论和广义回归神经网络进行短期负荷的预测,取得了满意的效果-with Chaos Theory and the general regression neural network for short-term load forecasts, achieved satisfactory results
PowerPredict
- 本文采用模糊数学和优化理论建立起一套预测模型由计算机自动预测电力负荷从而保证了预测结果的正确性和可信度通过对深圳市远景年电量预测的实例表明该方法是可行而有效的 -this fuzzy optimization theory and mathematical model to establish a set automatically by a computer forecasting electricity load so guarantee the accuracy of the resu
MFEv101_M70
- Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach\" by Rafał Weron, published by John Wiley and Sons, 2006. Rafał Weron的大作:电网系统负荷与价格预测与建模:一种统计方法的源码
PFC
- 此算法实现了单元机组负荷系统预测函数控制-This algorithm unit load system predictive functional control
CoverageandcapacitiesplansstudyofWCDMA
- 本文根据3GPP规范,对WCDMA的覆盖与容量规划进行了分析研究。WCDMA在接入技术上比2G有了很大改善,这也使相应的网络规划方法发生了改变。与以往2G网络规划的传统静态预测不同,设计好一个WCDMA网络关键在于如何平衡覆盖与容量的关系。 本文是按照网络规划步骤展开分析的。首先使用静态分析计算得到基站覆盖的大致距离,以确定区域的基站密度和分布,这是进行网络仿真预测的基础 然后分析单一业务时覆盖与容量的关系 最后使用MonetCarlo法仿真多业务混合时的覆盖与容量状况。文中针对仿真预
NoneLinear
- 非线性回归预测电力负荷VB模块(带实例)-Non-linear regression to forecast the electricity load VB modules (with examples)
neural610
- 采用神经网络训练,预测某地区用电负荷源程序-Training in the use of neural networks to forecast electricity load source in an area
2
- 本程序采用AR模型,可以用来进行电力负荷的预测-The program uses AR model can be used for power load forecast
High-embedded-chaos-load-series
- 高嵌入维混沌负荷序列预测方法研究 对混沌理论的又一次研究-High load embedded chaotic series prediction
tanmlp1
- 根据一年中前6个月的负荷和电价数据,预测后六个月的电价,并计算精度-According to the first 6 months of the year the load and price data, predict the next six-month price and caculate the accuracy
DFIG_V4_March_2010
- 基于PSCAD的双馈风力发电机并网模型,实现了最大功率跟踪和有功无功的解耦控制。-根据一年中前6个月的负荷和电价数据,预测后六个月的电价,并计算精度 允许输入拉丁字符的拼音 显示对应的拉丁字符的拼音 In PSCAD doubly fed wind generation model for maximum power point tracking and decoupling control of active and reactive.
load-prediction
- 根据历史数据,利用反馈神经网络对电力系统运行负荷进行预测-power prediction
a
- BP网络对负荷值进行预报。在预测日的前一天,每隔两个小时对电力负荷进行一次测量,一天共得到12组测量数据。并将前一天的负荷数据作为网络的样本数据。-System for forecasting of electric load.The day before the forecast day, every two hours of electricity load time measurements a day, a total of 12 groups of measurement data.
9klmn4.ZIP
- 考虑负荷周期性和变化率的短期电价预测Considering the load cycle and rate of change of the short-term electricity price forecasting-Considering the load cycle and rate of change of the short-term electricity price forecasting
gm1
- 灰色模型的源代码,很好用的,可以用来预测电力系统短期负荷-The source code of the gray model, well used, can be used to predict short term load
Uneural610s
- 采用神经网络训练,预预测某地区用电负荷源程序 -The neural network training, pre-forecast of a regional electricity load source
RBFjulei
- 基于聚类算法的RBF预测,可用于电力负荷,证券等方面的预测-RBF prediction based on clustering algorithm, can be used to forecast power load, securities