[HTML][HTML] Forecasting: theory and practice
Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …
uncertainty that surrounds the future is both exciting and challenging, with individuals and …
Energy price prediction using data-driven models: A decade review
The accurate prediction of energy price is critical to the energy market orientation, and it can
provide a reference for policymakers and market participants. In practice, energy prices are …
provide a reference for policymakers and market participants. In practice, energy prices are …
A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series
Forecasting the future price of crude oil, which has an important role in the global economy,
is considered as a hot matter for both investment companies and governments. However …
is considered as a hot matter for both investment companies and governments. However …
Probability transformation of mass function: A weighted network method based on the ordered visibility graph
Transform of basic probability assignment to probability distribution is an important aspect of
decision making process. To address this issue, a weighted network method based on the …
decision making process. To address this issue, a weighted network method based on the …
A new crude oil price forecasting model based on variational mode decomposition
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 …
situation. Recently, variational mode decomposition (VMD) is introduced into the field of …
Short-term forecasting of natural gas prices by using a novel hybrid method based on a combination of the CEEMDAN-SE-and the PSO-ALS-optimized GRU network
J Wang, J Cao, S Yuan, M Cheng - Energy, 2021 - Elsevier
With the continuous growth of the global natural gas trade, the accurate prediction of natural
gas prices has become one of the most critical issues in the planning and operation of public …
gas prices has become one of the most critical issues in the planning and operation of public …
Multi-step-ahead crude oil price forecasting based on two-layer decomposition technique and extreme learning machine optimized by the particle swarm optimization …
T Zhang, Z Tang, J Wu, X Du, K Chen - Energy, 2021 - Elsevier
The prediction of crude oil prices has important research significance. The paper contributes
to the literature of hybrid models for forecasting crude oil prices. We apply ensemble …
to the literature of hybrid models for forecasting crude oil prices. We apply ensemble …
A novel hybrid method for crude oil price forecasting
JL Zhang, YJ Zhang, L Zhang - Energy Economics, 2015 - Elsevier
Forecasting crude oil price is a challenging task. Given the nonlinear and time-varying
characteristics of international crude oil prices, we propose a novel hybrid method to …
characteristics of international crude oil prices, we propose a novel hybrid method to …
A novel hybrid model for forecasting crude oil price based on time series decomposition
H Abdollahi - Applied energy, 2020 - Elsevier
Oil price forecasting has received a prodigious attention by scholars and policymakers due
to its significant effect on various economic sectors and markets. Incentivized by this issue …
to its significant effect on various economic sectors and markets. Incentivized by this issue …
Oil price forecasting using a hybrid model
A Safari, M Davallou - Energy, 2018 - Elsevier
Forecasting oil prices is an important and challenging matter, because of its impact on many
economic and non-economic factors. Because factors such as economic growth, political …
economic and non-economic factors. Because factors such as economic growth, political …