Modeling and Forecasting Nonstationary Voltage Fluctuation Based on Grey System Theory

Dejamkhooy, Abdolmajid; Dastfan, Ali; Ahmadyfard, Alireza

doi:10.1109/tpwrd.2014.2386696

Cited by 51 publications

(17 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Grey System Theory (Grey Theory) was first proposed and studied by Deng [49] in the 1980s. The theory proposes that a system can be orderly and functional, even when some system features are unknown to the user and the data are complex.…”

Section: Gm(1 1) Modelmentioning

confidence: 99%

Association between New Urbanization and Sustainable Transportation: A Symmetrical Coupling Perspective

Guo

Yuen

et al. 2019

Symmetry

View full text Add to dashboard Cite

New urbanization (NU) and sustainable transportation (ST) are two important issues in urbanization, and their symmetrical coupling is an important factor for measuring the development of the urbanization process. To comprehensively explore the symmetrical coupling level of NU and ST in the urbanization process, this study proposed a coupling coordination degree (CCD) model and calculated the CCD values of China’s nine metropolises using panel data from 2007 to 2016. The results showed that: (1) From the perspective of each city’s development, the CCD values for Beijing, Tianjin and Chongqing showed a downward trend, and those for Shanghai, Guangzhou, Chengdu and Wuhan exhibited a rising trend, while the CCD values for Zhengzhou and Xi’an fell initially and then rose gradually; (2) Based on the regions of the nine cities, the CCD values of the eastern cities and the central cities all demonstrated a growth trend, while those of the western cities were consistently lower than the central and eastern cities; however, the western cities experienced the highest growth rate. (3) Predictive results showed that the CCD levels of new urbanization and sustainable transportation in the eastern, central and western cities are projected to remain unchanged. Finally, it is expected that regionally balanced development will be realized in 2025. From the symmetrical coupling perspective, this study measured and predicted the coupling coordination level of NU and ST of nine metropolises undergoing the urbanization process, which provides a theoretical basis for effective decision-making for comprehensive and sustainable development of China’s urbanization.

show abstract

Section: Gm(1 1) Modelmentioning

confidence: 99%

Association between New Urbanization and Sustainable Transportation: A Symmetrical Coupling Perspective

Guo

Yuen

et al. 2019

Symmetry

View full text Add to dashboard Cite

show abstract

“…Until the present, many load-forecasting methods such as the continuation method, regression analysis methods [4][5][6], time series methods [7][8][9], grey forecasting method [10], [11], artificial neural networks [12][13][14], Kalman filters [15], [16], and support vector machine (SVM) [17] are commonly used.…”

Section: Introductionmentioning

confidence: 99%

Short-Term Load Forecasting Based on Integration of SVR and Stacking

Tan

Zhang

et al. 2020

IEEE Access

View full text Add to dashboard Cite

Selection of the kernel function by the support vector regression (SVR), for the purposes of load forecasting, is affected by the power load characteristics. The non-ideal SVR with a kernel function has low forecasting accuracy and poor generalization ability. A novel load forecasting method combining SVR and stacking is proposed in this paper. Base models are constructed based on SVRs with different kernel functions, then multiple base models are merged to obtain a base model layer via stacking algorithm. Finally, an SVR is connected as the meta-model layer. The stacking fusion model is composed of base model layer and meta-model layer. This model is trained with k-fold cross validation to enhance its generalization ability. An improved artificial fish swarm algorithm is employed to optimize the parameters to improve the forecasting accuracy of the stacking fusion model; speed variables are introduced to replace step lengths and improve the convergence speed and search ability. The forecasting accuracy and generalization ability of the proposed method are verified by comparative analysis. INDEX TERMS SVR, load forecasting, kernel function, stacking fusion model, k-fold cross validation, improved artificial fish swarm algorithm.

show abstract

“…At present, sequence smoothness is mainly improved by sequence transformation, such as smoothness operator and amplitude compression [17][18][19][20]; (b) modelling oscillation interval by envelope: from the perspective of scope, the oscillation sequence envelope is modelled. e envelope is modelled by grey prediction model, and the simulation and prediction of the oscillation sequence variation range are realized [21][22][23]; (c) improving the structure of grey prediction model by periodic operator: in order to adapt to periodic sequence, scholars have introduced periodic factor of triangular function and have established periodic grey Complexity 2 prediction model to match the periodic uctuation of sequence and reduce modelling error [24,25]. e above methods can improve the modelling ability of grey prediction model for oscillation sequence to a certain extent, but they still have some shortcomings.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Grey Prediction Model for Small Oscillation Sequence Based on Information Decomposition

2020

View full text Add to dashboard Cite

Grey prediction model has good performance in solving small data problem, and has been widely used in various research fields. However, when the data show oscillation characteristic, the effect of grey prediction model performs poor. To this end, a new method was proposed to solve the problem of modelling small data oscillation sequence with grey prediction model. Based on the idea of information decomposition, the new method employed grey prediction model to capture the trend characteristic of complex system, and ARMA model was applied to describe the random oscillation characteristic of the system. Crops disaster area in China was selected as a case study and the relevant historical eight-year data published by government department were substituted to the proposed model. The modelling results of the new model were compared with those of other traditional mainstream prediction models. The results showed that the new model had evidently superior performance. It indicated that the proposed model will contribute to solve small oscillation problems and have positive significance for improving the applicability of grey prediction model.

show abstract

Modeling and Forecasting Nonstationary Voltage Fluctuation Based on Grey System Theory

Cited by 51 publications

References 24 publications

Association between New Urbanization and Sustainable Transportation: A Symmetrical Coupling Perspective

Association between New Urbanization and Sustainable Transportation: A Symmetrical Coupling Perspective

Short-Term Load Forecasting Based on Integration of SVR and Stacking

A Hybrid Grey Prediction Model for Small Oscillation Sequence Based on Information Decomposition

Contact Info

Product

Resources

About