说明:双击或选中下面任意单词,将显示该词的音标、读音、翻译等;选中中文或多个词,将显示翻译。
您的位置:首页 -> 句库 -> 用电量预测模型
1.
Mid and Long Term Electric Load Modeling Based on Neural Networks
基于神经网络的中长期用电量预测模型
2.
The Gray Forecast GM Model(1,1) Applies to Forecast in Electric System by Use Matlab Software
用Matlab实现GM(1,1)灰色模型的供电量预测
3.
Application of SPSS model to the prediction of residential power consumption
SPSS预测模型在城市居民生活用电量中的应用
4.
Response of Electric Power Load to Weather in Summer of Shijiazhuang and Its Prediction Model
石家庄夏季用电量对天气的响应及其预测模型
5.
Middle and long term electricity demand forecasting based on multi-exponents sliding forecast model;
基于多指数平滑预测模型的中长期需电量预测
6.
New Combined Forecasting Model Applied in Air Traffic Flow Forecast
新型组合预测模型在空中交通流量预测的应用
7.
Forecasting on the Amount of Sales of Electric Power Based on Improved Grey Model
基于改进灰色模型的售电量预测分析
8.
A Grey Model to Predict Electricity Price with Internal Variable Parameters Identification
内变量参数辨识的灰色电价预测模型
9.
Application of An Improved Gray Verhulst Model in Urban Annual Electrical Power Consumption;
改进灰色Verhulst模型在武汉市全年用电总量预测中的应用
10.
Application of Information Renewal GM(1,1) Model to Prediction of Whole Social Demand of Electric Power;
新陈代谢GM(1,1)模型在全社会用电量预测中的应用
11.
Application of Grey Dynamic Forecasting to the Study of Money System;
灰色动态预测模型在货币供应量预测中的应用
12.
The application of predicting m odels in therationalization m anagem ent of applying electricity;
预测模型在指标化用电管理中的应用
13.
Application of Combination Forecasting Model in Load Forecasting of Network
组合预测模型在电网负荷预测中的应用
14.
The Combined Prediction of Power Demand Increase Based on Neural Network and Gray Model;
基于BP神经网络和灰色模型的用电量增长组合预测
15.
The Application of Exponential Regression and ARMA Model in Annual per Capita Electricity Consumption of Households Forecast
指数回归-ARMA模型在我国人均生活电力消费量预测中的应用
16.
Application of Multi-factor SVM Method in Power Load′s Medium and Long Term Forecasting for Jiangsu Province
多因素支持向量机模型在江苏省中长期电力负荷预测中的应用
17.
Application of ARIMA Model on Forecast of Railway Freight Volume;
ARIMA模型在铁路货运量预测中的应用
18.
Application of GM(1,2) in the Forecast of Transport Volume of Inland River;
GM(1,2)模型在内河货运量预测中的应用