Results 21 to 30 of about 70 (64)
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ARIMAmmse: An Improved ARIMA-based
30th Annual International Computer Software and Applications Conference (COMPSAC'06), 2006Productivity is a critical performance index of process resources. As successive history productivity data tends to be auto-correlated, time series prediction method based on Auto-Regressive Integrated Moving Average (ARIMA) model was introduced into software productivity prediction by Humphrey et al. In this paper, a variant of their prediction method
Li Ruan +5 more
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2019
Chapter 2 introduces ARIMA algebra. With a few exceptions, this material mirrors the authors’ earlier work. The chapter begins with stationary time series processes – white noise, moving average (MA), and autoregressive (AR) processes – and moves predictably to non-stationary and multiplicative (seasonal) models. Stationarity implies
David McDowall +2 more
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Chapter 2 introduces ARIMA algebra. With a few exceptions, this material mirrors the authors’ earlier work. The chapter begins with stationary time series processes – white noise, moving average (MA), and autoregressive (AR) processes – and moves predictably to non-stationary and multiplicative (seasonal) models. Stationarity implies
David McDowall +2 more
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TEMPORAL AGGREGATION IN THE ARIMA PROCESS
Journal of Time Series Analysis, 1986Abstract. The effect of temporal aggregation on ARIMA models is investigated. The paper discusses the change of model form resulting from aggregation. For the IMA model it is noted that reduction of model order may occur, due to aggregation, which takes an arbitrarily high order IMA (d, q) process to an IMA (d, 0) process for the aggregates.
Stram, Daniel O., Wei, William W. S.
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Comparison Between ARIMA and EEMD+ARIMA Models in Forecasting Electricity Consumption
Fusion: Practice and ApplicationsAccurate forecasting of future electricity consumption is necessary to create a satisfactory design for an electricity distribution system. To enhance forecasting accuracy, autoregressive integrated moving average (ARIMA) was compared with hybrid of ensemble empirical mode decomposition (EEMD) plus autoregressive integrated moving average (ARIMA ...
Abdulsalam Elnaeem .., Ani Bin Shabri
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EPSTO-ARIMA: Electric Power Stochastic Optimization Predicting Based on ARIMA
2021 IEEE 9th International Conference on Smart City and Informatization (iSCI), 2021Yuqing Xu +3 more
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Potential of ARIMA-ANN, ARIMA-SVM, DT and CatBoost for Atmospheric PM2.5 Forecasting in Bangladesh
Atmosphere, 2021+2 more
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An ARIMA-LSTM model for predicting volatile agricultural price series with random forest technique
Applied Soft Computing Journal, 2023Achal Lama +2 more
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Well production forecasting based on ARIMA-LSTM model considering manual operations
Energy, 2021Hai Sun, Zhixue Sun, Kai Zhang
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