scholarly journals A Weighted Combination Forecasting Model for Power Load Based on Forecasting Model Selection and Fuzzy Scale Joint Evaluation

2021 ◽  
Vol 118 (5) ◽  
pp. 1499-1514
Author(s):  
Bingbing Chen ◽  
Zhengyi Zhu ◽  
Xuyan Wang ◽  
Can Zhang
Keyword(s):  
Model Selection ◽  
Forecasting Model ◽  
Combination Forecasting ◽  
Power Load ◽  
Combination Forecasting Model ◽  
Weighted Combination ◽  
Joint Evaluation

Short-Term Power Load Forecast in Electric Companies

2014 ◽  
Vol 962-965 ◽  
pp. 1891-1895
Author(s):  
Chang Liu
Keyword(s):  
Prediction Model ◽  
Forecasting Model ◽  
Load Forecast ◽  
Special Events ◽  
Gray Prediction ◽  
Combination Forecasting ◽  
Power Load ◽  
Accurate Forecast ◽  
Load Component ◽  
Combination Forecasting Model

This paper studies the problem of load forecast in electric companies. We combine the analysis of load cause and gray prediction model together, and enhance the accuracy of prediction, thus improving the economic benefit of electric companies and saving energy resources. Firstly, considering the cause of load, we separate load into three components: basic load component, weather-sensitive load component, and load component because of special events. Then, we take economic development and actual temperature into account to calculate load in each category. And then, we use gray prediction model to make a further prediction. The results show that gray prediction is only accurate in trend. In order to make a more accurate prediction, it should be combined with other forecasting methods. Finally, we combine cause of load with gray prediction model, and establish a combination forecasting model. The combination forecasting model explains the cause of load and the reason for error in gray model. With accurate forecast, it is easy for electric companies to manage their operation perfectly and get the most profit.

Substation Bus Reactive Load Forecasting in Large Iron and Steel Enterprise

2012 ◽  
Vol 433-440 ◽  
pp. 6168-6174
Author(s):  
Li Mu ◽  
Jia Chuan Shi ◽  
Xian Quan Li
Keyword(s):  
Reactive Power ◽  
Load Forecasting ◽  
National Standard ◽  
Forecasting Model ◽  
Impact Loads ◽  
Optimization Strategy ◽  
Reactive Power Optimization ◽  
Iron And Steel ◽  
Combination Forecasting ◽  
Combination Forecasting Model

Impact loads in large iron and steel enterprise bring the power system reactive power impact, which makes the fluctuation of the system voltage, power factor and other parameters are out of the limitation of the national standard. Substation bus reactive load forecasting in large iron and steel enterprise can be introduced to determine reactive power optimization strategy and the switching of capacitors. In this paper, a combination forecasting model of quadratic self-adaptive exponential smoothing (QSES) model and converse exponential (CE) model has been proposed for substation bus reactive load forecasting. The numerical results in Jinan iron and steel Group show the application of this model is encouraging. Introduction

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