Medium-long Term Load Forecasting of Power System Based on Interval Taylor Model Algorithm

2020 ◽  
Author(s):  
Zhijie Zheng ◽  
Fei Wang ◽  
Long Zhao ◽  
Yimu Fu
Keyword(s):  
Power System ◽  
Load Forecasting ◽  
Taylor Model ◽  
Model Algorithm

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.

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

Medium and Long-Term Load Forecasting Using Grey Theory Based on Rough Sets

2014 ◽  
Vol 672-674 ◽  
pp. 1405-1408
Author(s):  
Hong Zhang ◽  
Zhi Guo Lei ◽  
Yue Cheng ◽  
Yu Ming Wang
Keyword(s):  
Power System ◽  
Rough Set ◽  
Rough Sets ◽  
Load Forecasting ◽  
Grey Theory ◽  
System Planning ◽  
Power Load ◽  
Power Load Forecasting ◽  
Sensitive Factor

Power load forecasting is one of the important parts in power system planning. This paper focused on the research of load forecasting and proposed an improved Rough set for mid-long term load forecasting. Based on the theory, the most sensitive factor can be found, which is applied to studying the uncertain problems of mid-long term load forecasting in this paper and one method fitting for mid-long term load forecasting are proposed. The validity and effectiveness of the method is tested in a real power system example.

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

Medium and Long Term Load Forecasting of Power System Based on Interval Taylor Model Arithmetic

2014 ◽  
Vol 986-987 ◽  
pp. 354-357
Author(s):  
Zhi Jie Zheng ◽  
Shou Xiang Wang ◽  
Yan Wang ◽  
Long Zhao ◽  
Jie Zhang
Keyword(s):  
Load Forecasting ◽  
Taylor Model ◽  
Independent Variables ◽  
Forecasting Method ◽  
Long Time ◽  
Global Variable ◽  
Exponential Smoothing Method ◽  
The Impact ◽  
The Relationship

For long time span, the impact of many factors, uncertainties and other characteristics of mid-long term load forecasting, as well as the over-estimation of interval arithmetic, a mid-long term load forecasting method based on interval Taylor model algorithm was presented. In order to avoid misjudgment of the relationship between variables, reducing over-estimation problem, a global variable named Taylor model ID was presented to identify the independent variables and the dependent variable. The same independent variables construct the interval Taylor model only once. Use Maclaurin formula to derive the interval Taylor model of correlation function formula, and then get a quadratic exponential smoothing method based on interval the Taylor model. The proposed method has been tested on a provincial calculation. The results demonstrated the effectiveness and practical value of the approach by comparing with the results of Monte Carlo simulation and interval method.

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