Wind Power Prediction Based on Similar Day Clustering Support Vector Machine

Wang, Xian Bin; Ding, Zhi; Yang, Ping; Yang, Xi

doi:10.4028/www.scientific.net/amr.621.200

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Univariate Time Series Models1

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2016

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“…The reason why the observed values before and after are relevant is that no matter individuals or institutions the behavioral decision they made has varying degrees of memorability. The basic function of time series model is allowing people to quantify the degree of the memorability contained in the indicators clearly [3]. …”

Section: Univariate Time Series Modelsmentioning

confidence: 99%

A Diagnostic System for State Grid’s Operations

Wang¹,

Tan²,

Gao³

et al. 2016

JSS

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This paper introduces the key technologies in the company's operations and diagnostic analysis methods, including data adjustment method, empirical modeling, structural analysis, trend analysis and forecasting techniques, early warning analysis techniques. Then, empirical models was built based on the operational data of State Grid, the performance of the company was assessed to help find the problems in operations. This study provided the basis for the enterprises to monitor and understand the influence of the market or other external factors on the implementation of the enterprise strategic objectives.

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Section: Univariate Time Series Modelsmentioning

confidence: 99%