Long-term Load Forecasting in Power System: Grey System Prediction-based Models

2011 ◽  
Vol 11 (16) ◽  
pp. 3034-3038 ◽  
Author(s):  
Mehdi Askari ◽  
Abdolvahhab Fetanat
Keyword(s):  
Power System ◽  
Load Forecasting ◽  
Grey System

A Data Pretreatment Method about Power System Load Modeling

2012 ◽  
Vol 263-266 ◽  
pp. 125-130
Author(s):  
Yan Ping Wang
Keyword(s):  
Power System ◽  
High Speed ◽  
Load Forecasting ◽  
Multiple Time ◽  
Load Modeling ◽  
Time Period ◽  
Data Pretreatment ◽  
Load Increase ◽  
The Impact

Short-term load forecasting is one of the most important routine works for power dispatch departments. The accuracy of load forecasting will exert direct effects on the safety, economy and stabilization of the power system running. Portrait and transverse comparability are employed to distinguish and correct bad load data, while wavelet analysis and multiple-time-period analysis used to eliminate long-term increasing weights, thus reducing the impact of the high-speed load increase on the accuracy of load forecasting.

scholarly journals Long Term Load Forecasting Using Grey System Theory

1993 ◽  
Vol 113 (12) ◽  
pp. 1431-1438
Author(s):  
Hironobu Morita ◽  
De-Ping Zhang ◽  
Yasuo Tamura
Keyword(s):  
System Theory ◽  
Load Forecasting ◽  
Grey System Theory ◽  
Grey System

The Application of the Improved Verhulst Model in Mid-Long Term Load Forecasting

2011 ◽  
Vol 55-57 ◽  
pp. 1322-1326 ◽  
Author(s):  
Wen Qing Zhao ◽  
Fei Wang ◽  
Dong Xiao Niu
Keyword(s):  
Load Forecasting ◽  
Small Samples ◽  
Electric Load ◽  
Information Uncertainty ◽  
Load Prediction ◽  
Grey System ◽  
Original Sequence ◽  
Verhulst Model ◽  
Improved Model

The mid-long term electric load forecasting provide essential data for the grid planning, it is helpful to optimize the planning of the power system. According to such features in mid-long term forecasting as small samples, poor information, uncertainty and nonlinearity, we can use the verhulst model in the grey system to do the forecasting. But in thinking of the differences of the sampling and the variations of the original sequence, the verhulst can’t do the forecasting exactly. So, through the method of doing equal-interval quantization and reforming the background value to the original sequence, we have established the improved verhulst model. The improved model is applied to the electric load prediction of one district and the accuracy of the min-long term load forecasting can be enhanced by our model.

Long-Term Load Forecasting Using Grey System Theory

2007 ◽  
Vol 115 (2) ◽  
pp. 11-20 ◽  
Author(s):  
Hironobu Morita ◽  
De-Ping Zhang ◽  
Yasuo Tamura
Keyword(s):  
System Theory ◽  
Load Forecasting ◽  
Grey System Theory ◽  
Grey System

Review and prospect of power system mid-long-term load forecasting methods

2016 ◽  
pp. 363-370
Author(s):  
L Xing ◽  
D Yang ◽  
Z Jiang ◽  
N Wu ◽  
X Zhao
Keyword(s):  
Power System ◽  
Load Forecasting ◽  
Forecasting Methods
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