Results 21 to 30 of about 7,605 (274)

ARMA model for short-term forecasting of solar potential: application to a horizontal surface of Dakar site

Materials and Devices, 2019
This paper presents a model for short-term forecasting of solar potential on a horizontal surface. This study is carried out in to the context of valuing of energy production from photovoltaic solar sources in the Sahelian zone.
A. Mbaye, M.L. Ndiaye, D.M. Ndione, M. Sylla, M.C. Aidara, M. Diaw, V. Traore, A. Ndiaye, P.A.S. Ndiaye   +8 more
doaj   +1 more source

The Learning Outcomes of Figurenotes Music Activities for Children With Special Needs Based on the ARMA Models

SAGE Open, 2023
This study explores Learning Performance Analytics in the context of the Figurenotes Music course for young children aged 2 to 6 with special needs in Taiwan.
Liza Lee, Ying-Sing Liu
doaj   +1 more source

Prediction and Analysis of Meteorological Drought Based on Time Series(Case Study: SALMAS Watershed) [PDF]

محیط زیست و مهندسی آب, 2016
Time series analyses is a base method for more decisions about hydrological process and water operation. In Iran, drought is a continues and normal condition happening frequently and can be predicted by statistical and mathematical methods and models. In
Motaleb Byzedi, Maroof Siosemardeh, Azita Asragah   +2 more
doaj  

Assessing Efficiency of D-Vine Copula ARMA-GARCH Method in Value at Risk Forecasting: Evidence from PSE Listed Companies

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2015
The article points out the possibilities of using static D-Vine copula ARMA-GARCH model for estimation of 1 day ahead market Value at Risk. For the illustration we use data of the four companies listed on Prague Stock Exchange in range from 2010 to 2014.
Václav Klepáč, David Hampel
doaj   +1 more source

Shaping energy cost management in process industries through clustering and soft sensors

Frontiers in Energy Research, 2023
With the ever-increasing growth of energy demand and costs, process monitoring of operational costs is of great importance for process industries.
Yu Lu, Gang Fang, Gang Fang, Daoping Huang, Daoping Huang, Baoping Cai, Hongtian Chen, Yiqi Liu, Yiqi Liu   +8 more
doaj   +1 more source

Precise prediction of polar motion using sliding multilayer perceptron method combining singular spectrum analysis and autoregressive moving average model

Earth, Planets and Space, 2023
The precise prediction of polar motion parameters is needed for the astrogeodynamics, navigation and positioning of the deep space probe. However, the current prediction methods are limited to predicting polar motion for specific periods, either short ...
Kezhi Wu, Xin Liu, Xin Jin, Xiaotao Chang, Heping Sun, Jinyun Guo   +5 more
doaj   +1 more source

A Comparative APARCH Volatility Study of International Markets

Economies
This paper compares the daily return volatility by four leading international indices: JSE Top 40, FTSE 100, Nikkei 225 and S&P/ASX 200. The return series are modelled in ARMA process, where ARMA(1,3) values are taken for JSE Top 40 and S&P/ASX 200, ARMA(
Fhulufhedzani Justice Madega, Thinawanga Hangwani Tshisikhawe, Thakhani Ravele, Caston Sigauke   +3 more
doaj   +1 more source

Time Series Forecasting of Partial Signals in Thermal Power Units

Zhongguo dianli, 2020
Constrained by the performance of the equipment, certain issues have been existing in the main control parameters of boiler during the unit load changing process, such as large time delay and large inertia.
Jiaxing WANG, Zhe WANG, Lin WANG, Chaorong AN   +3 more
doaj   +1 more source

Modelling Volatile Time Series with V-Transforms and Copulas

Risks, 2021
An approach to the modelling of volatile time series using a class of uniformity-preserving transforms for uniform random variables is proposed. V-transforms describe the relationship between quantiles of the stationary distribution of the time series ...
Alexander J. McNeil
doaj   +1 more source

Volatility analysis and forecasting of vegetable prices using an ARMA‐GARCH model: An application of the CF filter and seasonal adjustment method to Korean green onions

Agribusiness, EarlyView.
Abstract The vegetable market experiences significant price fluctuations due to the complex interplay of trend, cyclical, seasonal, and irregular factors. This study takes Korean green onions as an example and employs the Christiano–Fitzgerald filter and the CensusX‐13 seasonal adjustment methods to decompose its price into four components: trend ...
Yiyang Qiao, Byeong‐il Ahn
wiley   +1 more source