Research on Mid-long Term Power Load Forecasting Models of Anhui Province

2013 ◽  
Vol 5 (5) ◽  
pp. 535-542
Author(s):  
Dongxiao Niu ◽  
Yan Lu ◽  
Yanan Wei
Keyword(s):  
Load Forecasting ◽  
Anhui Province ◽  
Forecasting Models ◽  
Power Load ◽  
Power Load Forecasting

scholarly journals A Power Load Forecasting Model Based on FA-CSSA-ELM

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Zuoxun Wang ◽  
Xinheng Wang ◽  
Chunrui Ma ◽  
Zengxu Song
Keyword(s):  
Search Algorithm ◽  
Load Forecasting ◽  
Local Optimum ◽  
Chaotic Mapping ◽  
Forecasting Models ◽  
Power Resources ◽  
Power Load ◽  
Power Load Forecasting ◽  
Learning Machine ◽  
Grid Operation

Accurate and stable power load forecasting methods are essential for the rational allocation of power resources and grid operation. Due to the nonlinear nature of power loads, it is difficult for a single forecasting method to complete the forecasting task accurately and quickly. In this study, a new combined model for power loads forecasting is proposed. The initial weights and thresholds of the extreme learning machine (ELM) optimized by the chaotic sparrow search algorithm (CSSA) and improved by the firefly algorithm (FA) are used to improve the forecasting performance and achieve accurate forecasting. The early local optimum that exists in the sparrow algorithm is overcome by Tent chaotic mapping. A firefly perturbation strategy is used to improve the global optimization capability of the model. Real values from a power grid in Shandong are used to validate the prediction performance of the proposed FA-CSSA-ELM model. Experiments show that the proposed model produces more accurate forecasting results than other single forecasting models or combined forecasting models.

Study on Medium and Long Term Power Load Forecasting in Cold Regions

2012 ◽  
Vol 170-173 ◽  
pp. 3472-3477
Author(s):  
Jian Li ◽  
Zhen Huan Jiang
Keyword(s):  
Yellow River ◽  
Load Forecasting ◽  
Qinling Mountains ◽  
Affecting Factors ◽  
Cold Regions ◽  
Road Map ◽  
Power Load ◽  
Power Load Forecasting ◽  
Northeast Of China

A large part of Qinling Mountains and north of the Yellow River in China belongs to cold regions, so accurate forecasting of power load in cold regions plays an important role in economic development. This article summarizes the basic theory of power load, power load forecasting and medium and long term load forecasting power load forecasting in cold regions, studies on the affecting factors of the medium and long term power load in cold regions, proposes the study road map on the affecting factors of the medium and long term load in cold regions and analyzes empirically the medium and long term power load forecasting in the northeast of China.

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