1.
Application of wavelet soft-threshold de-noising and GRNN in monthly load forecasting
![点击朗读](/dictall/images/read.gif)
小波软阈值去噪和GRNN网络在月度负荷预测中的应用
2.
GS-ANN based integrated model for weekly and monthly load forecasting
![点击朗读](/dictall/images/read.gif)
周、月负荷预测的GS-ANN综合模型
3.
Application of Gradient RBF in the Short-term Forecast of Urban Gas Load
![点击朗读](/dictall/images/read.gif)
梯度RBF在城市燃气负荷短期预测中的应用
4.
Application of Fuzzy Approach Degree Theory in Space Load Forecasting
![点击朗读](/dictall/images/read.gif)
模糊贴近度理论在空间负荷预测中的应用
5.
Annual load forecasting based on grey model and Partial Least-Square method
![点击朗读](/dictall/images/read.gif)
基于灰色和偏最小二乘方法的年度负荷预测
6.
Exploration on Calibration Method for Yearly Load Forecasting Considering Temperature
![点击朗读](/dictall/images/read.gif)
计及气温因素的年度负荷预测修正方法
7.
The platform of bus load forecasting for energy-conservation based generation dispatching
![点击朗读](/dictall/images/read.gif)
面向节能发电调度的母线负荷预测平台
8.
Application of grey relational grade based combined weights to power load forecasting
![点击朗读](/dictall/images/read.gif)
灰色关联度组合权在电力负荷预测中的应用
9.
Integrated Model of Weekly & Monthly Load Forecasting Based on Grey Theory and Artificial Neural Network;
基于灰色系统和人工神经网络的周、月负荷预测综合模型
10.
The analysis shows that it is feasible for short-term load forecasting.
![点击朗读](/dictall/images/read.gif)
结果表明可以将负荷求导法用于短期负荷预测。
11.
Analysis of Power Load Characteristic and Study on Medium and Long-Term Load Forecasting;
![点击朗读](/dictall/images/read.gif)
电力负荷特性分析及中长期负荷预测方法研究
12.
Short-Term Load Forecasting of Small Load Heavy Wave Area Model Research;
![点击朗读](/dictall/images/read.gif)
小负荷大波动地区短期负荷预测模型研究
13.
Load Characteristics Analysis and Forecasting Research of Hebei South System;
![点击朗读](/dictall/images/read.gif)
河北南网负荷特性分析与负荷预测研究
14.
Load Regularity Analysis on Spatial Load Forecasting of Urban Power System
![点击朗读](/dictall/images/read.gif)
城网空间电力负荷预测中的负荷规律性分析
15.
Short-Term Load Forecasting Based on Load Decomposition and Hourly Weather Factors
![点击朗读](/dictall/images/read.gif)
基于负荷分解和实时气象因素的短期负荷预测
16.
On Forecasting Power Load of Nantong;
![点击朗读](/dictall/images/read.gif)
用电负荷预测方法在南通地区负荷预测中的应用比较
17.
Exact degree of load forecasting shall directly affect rationality of investment, network layout and running.
负荷预测的准确程度将直接影响到投资、网络布局和运行的合理性。
18.
Research on Power Economic Dispatch Based on Model of Combination Forecasting of Power Load
基于组合电力负荷预测模型的电力经济调度研究