Grey system theory-based models in time series prediction

Kayacan, Erdal; Ulutas, Baris; Kaynak, Okyay

doi:10.1016/j.eswa.2009.07.064

Cited by 710 publications

(384 citation statements)

References 13 publications

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“…The differential equation of the GM (1,1) model is solved to obtain the k-step ahead of predicted value of the system. Finally, using the predicted value, the inverse accumulating generation operator (IAGO) is applied to find the predicted values of the original data [8].…”

Section: 1mentioning

confidence: 99%

A Conceptual Grey Analysis Method for Construction Projects

Chatzimichailidou¹,

Katsavounis²,

Lukac³

2015

ManageFon

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Section: 1mentioning

confidence: 99%

A Conceptual Grey Analysis Method for Construction Projects

Chatzimichailidou¹,

Katsavounis²,

Lukac³

2015

ManageFon

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“…To handle such a technical problem, the new grey cluster analysis method, which is based on the modified whitenization weight function, is developed in this paper. According to grey system theory [12], it is through the organization of raw data that development laws, if any exist, can be sorted out. In other words, this is a path of finding out realistic governing laws from the available data.…”

Section: Evaluation Of Technical Performancementioning

confidence: 99%

Assessing the Impact of Advanced Technologies on Utilization Improvement of Substations

Han¹,

Yan²,

Zhang³

et al. 2015

Journal of Electrical Engineering and Technology

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-The smart substation is the heart of a transmission system, which is particularly emphasized as the most significant composition of smart grids in China. In order to assess the functionality performance of substation technologies, this paper presents methods used to identify the most promising solutions for smart substation design and to evaluate the technical levels of available technologies. The multi-index optimization model is presented to address the issue of smart substation planning. A mathematical model of the planning decision problem is established with multiple objectives consisting of economic, reliability, and green key indices, and many kinds of concerns including physical and environmentally friendly operations are formulated as a set of constraints. With respect to the assessment of the technical level regarding integration of advanced technologies into a substation, a modified grey whitenization weight function is adopted to structure a novel grey clustering method. The proposed grey clustering approach is used to overcome the difficulty of insufficient quantitative assessment capacity for traditional methods. The evaluation of technical effects provides the classification definition for the development phase and the maturity level of the smart substation. The effectiveness of the proposed approaches in planning decision-making and evaluation of construction efforts is demonstrated with case studies involving the actual smart substation projects of Wenchongkou substation in China Southern Power Grid (CSG) and Mengzi substation in State Grid Corporation of China (SGCC).

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“…x (1) (k + 1) = β 1 x (1) β 2 is written as a basic of discrete grey model (DGM) or a discretization of the GM (1, 1) model (Kayacan et al, 2010).…”

Section: Dgm (1 1)mentioning

confidence: 99%