In the broad scientific field of time series forecasting, the ARIMA models and their variants
have been widely applied for half a century now due to their mathematical simplicity and …

Prediction of well production from unconventional reservoirs is a complex problem given an
incomplete understanding of physics despite large amounts of data. Recently, Data …

Optimization of ship energy efficiency is an efficient measure to decrease fuel usage and
emissions in the ship** industry. The accurate prediction model of ship energy usage is …

Short-term prediction of the Electric Vehicle (EV) charging demand is of great importance to
the operation of EV fleets and charging stations. This paper develops a Long Short-Term …

Tool wear monitoring is considered a core technology for next-generation computer
numerical control machine tools. However, differences in the characteristics of acquired …

CO 2 injection for subsurface hydrocarbon development not only enhances oil and gas
recovery but also enables CO 2 sequestration in the subsurface. It is essential to develop …

Abstract Accurate particulate matter 2.5 (PM 2.5) prediction plays a crucial role in the
accurate management of air pollution and prevention of respiratory diseases. However, PM …

Long-term time series forecasting has received a lot of popularity because of its great
practicality. It is also an extremely challenging task since it requires using limited …

To mitigate the impact of market uncertainty on trading investments, this paper proposes a
forecasting and investing framework for crude oil market by integrating interval models and …

The accuracy of oil production predictions is crucial in the field of petroleum engineering.
However, due to the time series characteristics of oil production and the complex …