A hybrid model for hand-foot-mouth disease prediction based on ARIMA-EEMD-LSTM
BMC Infectious Diseases, 2023 Background Hand, foot, and mouth disease (HFMD) is a common infectious disease that poses a serious threat to children all over the world. However, the current prediction models for HFMD still require improvement in accuracy. In this study, we proposed a
Yiran Wan +4 more
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Price Prediction of Second-hand Houses in Beijing in the Post-epidemic Era Based on ARIMA Model [PDF]
, 2023 Mengyao Ren
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Energy Science &Engineering, EarlyView.Forecasts peak electricity demand in Jordan for grid expansion over the next decade. Introduces a comparative method combining ARIMA, ARIMA‐X, and regression models. Projections show a 41% peak load increase by 2035, reaching around 5300 MW. The findings support capacity planning, pricing strategies, and network expansion.
Rafat Aljarrah +5 more
wiley +1 more source
Application of a hybrid model for predicting the incidence of tuberculosis in Hubei, China.
PLoS ONE, 2013 BackgroundA prediction model for tuberculosis incidence is needed in China which may be used as a decision-supportive tool for planning health interventions and allocating health resources.MethodsThe autoregressive integrated moving average (ARIMA) model
Guoliang Zhang +11 more
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An Empirical Study on Stock Price Forecasting Based on ARIMA Model [PDF]
, 2022 Han Peng
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Forecasting Carbon Prices: A Literature Review
Journal of Forecasting, EarlyView.ABSTRACT Carbon emissions trading is utilized by a growing number of states as a significant tool for addressing greenhouse gas emissions (GHG), global warming problem and the climate crisis. Accurate forecasting of carbon prices is essential for effective policy design and investment strategies in climate change mitigation.
Konstantinos Bisiotis +2 more
wiley +1 more source
Frontiers in Big DataObjectiveTo compare the application of the ARIMA model, the Long Short-Term Memory (LSTM) model and the ARIMA-LSTM model in forecasting foodborne disease incidence.MethodsMonthly case data of foodborne diseases in Liaoning Province from January 2015 to ...
Xiaoxiao Du +6 more
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Temperature field forecast in concrete dam with the use of ARIMA models and the finite element method [PDF]
, 2016 This article describes a forecasting method, with the application of statistical models Auto-Regressive Integrated Moving Average (ARIMA) and a heat conduction model to forecast the temperature field in a buttress block of Itaipu dam. Monthly temperature
Aracayo, Luis Antonio Sucapuca +6 more
core
A Novel Approach to Forecasting After Large Forecast Errors
Journal of Forecasting, EarlyView.ABSTRACT A sequence of increasingly large same‐sign 1‐step‐ahead forecast errors are most likely due to a sudden unexpected shift. Large forecast errors can be expensive, but also contain valuable information. Impulse indicators acting as intercept corrections to set forecasts back on track can be quickly tested for replacing outliers, a location shift
Jennifer L. Castle +2 more
wiley +1 more source
Carbon Speciation and Solubility in Silicate Melts
Geophysical Monograph Series, Page 179-194., 2020 This book is Open Access. A digital copy can be downloaded for free from Wiley Online Library.
Explores the behavior of carbon in minerals, melts, and fluids under extreme conditions
Carbon trapped in diamonds and carbonate-bearing rocks in subduction zones are examples of the continuing exchange of substantial carbon ...
Natalia Solomatova +2 more
wiley +1 more source