As crude oil price is influenced by numerous factors, capturing its behavior precisely is quite
challenging, and thus leads to the difficulty of forecasting. In this study, a deep learning …

Oil price plays a vital role in a country's economy. Oil price forecasting helps in making better
economic planning and decisions. The fluctuation in the oil price occurs due to several …

Artificial intelligent methods are being extensively used for oil price forecasting as an
alternate approach to conventional techniques. There has been a whole spectrum of …

In the present paper, a new neural network is developed to improve the prediction accuracy
of crude oil price fluctuations. The proposed model combines wavelet neural network (WNN) …

Crude oil is fundamental for global growth and stability. The factors influencing crude oil
prices and more generally, the oil market, are well known to be dynamic, volatile and …

Building price projections of various energy commodities has long been an important
endeavor for a wide range of participants in the energy market. We study the forecast …

Crude oil price prediction is a challenging task in oil producing countries. Its price is among
the most complex and tough to model because fluctuations of price of crude oil are highly …

Forecasting the fluctuations of global energy markets has become a focus of economic and
energy research. In this paper, in an attempt to improve the prediction accuracy of energy …

The effect of the COVID-19 pandemic on crude oil prices just faded; at this moment, the
Russia–Ukraine war brought a new crisis. In this paper, a new application is developed that …

International oil price forecasting is a complex and important issue in the research area of
energy economy. In this paper, a new model based on web-based sentiment analysis is …