Complexity may be one of the most important measurements for analysing time series data;
it covers or is at least closely related to different data characteristics within nonlinear system …

Biocrude production from wet waste through hydrothermal liquefaction (HTL) has become a
hotspot for researchers that serves as an alternative to fossil fuel, reducing greenhouse gas …

Abstract The Russia-Ukraine War, which has lasted for over a year, has been proven to
significantly impact crude oil prices. This article aims to explore the channels through which …

Purpose The purpose of this paper is to provide reference for researchers by reviewing the
research advances and trend of agricultural product price forecasting methods in recent …

The nexus between extreme events and energy price risk is of great importance in energy
finance analysis due to the fact that those events generally exert strong impacts on energy …

Abstract Algorithms based on Empirical Mode Decomposition (EMD) and Iterative Filtering
(IF) are largely implemented for representing a signal as superposition of simpler well …

Hydrological time series forecasting is one of the most important applications in modern
hydrology, especially for effective reservoir management. In this research, the auto …

The existing contradictory findings on the contribution of trading volume to volatility
forecasting prompt us to seek new solutions to test the sequential information arrival …

Crude oil price prediction helps to get a better understanding of the global economic
situation. Recently, variational mode decomposition (VMD) is introduced into the field of …

Considering the actual demand of crude oil price forecasting, a novel model based on
ensemble empirical mode decomposition (EEMD) and long short-term memory (LSTM) is …