Results 21 to 30 of about 75,093 (310)
Assessment and Analysis of River Drought Volume by Using Historical and Forecasted Data (Case Study: Western Rivers of Lake Urmia) [PDF]
علوم و مهندسی آبیاری, 2015 Flood and drought analysis accuracy and estimating return period of droughts depend on selecting type of distribution functions and method of estimating parameters.
Keivan Khalili +2 more
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Barekeng, 2023 Inflation is one of the variables in the macro economy that can affect people's welfare and is defined as a complex phenomenon due to general and continuous price increases.
Desy Yuliana Dalimunthe +4 more
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International Journal of Energy Research, 2020 As the contribution of renewable energy grows in electricity markets, the complexity of the energy mix required to meet demand grows, likewise the need for robust simulation techniques.
P. Talbot +7 more
semanticscholar +1 more source
Solar radiation prediction for a winter day using ARMA model
IEEE International Energy Conference, 2020 Solar radiation prediction has a great importance for many applications such as PV power forecasting and solar water heaters. The need of solar radiation prediction increase over time and certainly the accurate prediction can greatly improve the ...
I. Sansa +3 more
semanticscholar +1 more source
Research on Stock Returns Forecast of the Four Major Banks Based on ARMA and GARCH Model
Journal of Physics: Conference Series, 2020 This paper uses the prediction method of time series analysis to fit and predict the stock daily logarithmic return series of the four major banks. The ARMA model and the GARCH model are constructed and compared empirically.
Yuanwei Hu +5 more
semanticscholar +1 more source
Estimation of ARMA Model Order via Artificial Neural Network for Modeling Physiological Systems
IEEE Access, 2020 Model order estimation is the most important but challenging step for system identification using an autoregressive moving average (ARMA) model. In this paper, we propose an artificial neural network (ANN) structure to estimate the best model order for ...
M. Hossain, Jihye Moon, K. Chon
semanticscholar +1 more source
Modelling The Volatility of Frankfurt Stock Exchange (DAX) Returns Using hybrid Models [PDF]
Financial Markets, Institutions and RisksRecently, the interest of researchers in the use of hybrid models in the process of analyzing model time series with fluctuations and forecasting fluctuations in financial time series has increased significantly. Hybrid ARMA-GARCH models were created for
Hadj Khelifa +2 more
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A Guide to Solar Power Forecasting using ARMA Models [PDF]
IEEE PES Innovative Smart Grid Technologies Conference Europe, 2018 In this short article, we summarize a step-by-step methodology to forecast power output from a photovoltaic solar generator using hourly auto-regressive moving average (ARMA) models.
Bismark Singh, David Pozo
semanticscholar +1 more source
Evaluation of Combined ARMA-ARCH and BL-ARCH models in Modeling Lake Urmia water level [PDF]
علوم و مهندسی آبیاری, 2017 Many nonlinear models have been developed based on the mean errors modeling. However, the non-linear models with Autoregressive conditional heteoscedasticity are based on variance modeling. These models are combined with linear models, partly to increase
Mohammad Nazeri Tahrudi +3 more
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El día que cambió la historia del arma nacional de inteligencia
Perspectivas en Inteligencia, 2018 El arma de Inteligencia Militar en Colombia se ha consolidado históricamente, desde su origen en 1964 hasta el día de hoy, como una de las unidades más importantes de las Fuerzas Militares por su compromiso con el lema “En Guardia por la Patria”.
Luisa Fernanda López Bolaños
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