Optimized data-driven models for short-term electricity price forecasting based on signal decomposition and clustering techniques
AI Arvanitidis, D Bargiotas, D Kontogiannis, A Fevgas… - Energies, 2022 - mdpi.com
In recent decades, the traditional monopolistic energy exchange market has been replaced
by deregulated, competitive marketplaces in which electricity may be purchased and sold at …
by deregulated, competitive marketplaces in which electricity may be purchased and sold at …
Dynamic ensemble deep echo state network for significant wave height forecasting
Forecasts of the wave heights can assist in the data-driven control of wave energy systems.
However, the dynamic properties and extreme fluctuations of the historical observations …
However, the dynamic properties and extreme fluctuations of the historical observations …
Multi-step carbon price forecasting using a hybrid model based on multivariate decomposition strategy and deep learning algorithms
Accurate prediction of carbon price effectively ensures the stability of the carbon trading
market and reduces carbon emissions. However, making accurate prediction is challenging …
market and reduces carbon emissions. However, making accurate prediction is challenging …
[HTML][HTML] Online dynamic ensemble deep random vector functional link neural network for forecasting
This paper proposes a three-stage online deep learning model for time series based on the
ensemble deep random vector functional link (edRVFL). The edRVFL stacks multiple …
ensemble deep random vector functional link (edRVFL). The edRVFL stacks multiple …
A hybrid model for multi-step coal price forecasting using decomposition technique and deep learning algorithms
Accurate and reliable coal price prediction is of great significance to enhance the stability of
the coal market. Numerous methods have been developed to improve the prediction …
the coal market. Numerous methods have been developed to improve the prediction …
Decomposition-selection-ensemble forecasting system for energy futures price forecasting based on multi-objective version of chaos game optimization algorithm
P Jiang, Z Liu, J Wang, L Zhang - Resources Policy, 2021 - Elsevier
Effective crude oil and natural gas futures price forecasting is a crucial endeavor for financial
energy markets and is also a challenging work due to the nonlinear and fluctuant …
energy markets and is also a challenging work due to the nonlinear and fluctuant …
A novel multiscale forecasting model for crude oil price time series
R Li, Y Hu, J Heng, X Chen - Technological Forecasting and Social …, 2021 - Elsevier
Forecasting crude oil prices is an essential research field in the international bulk
commodities market. However, price movements present more complex nonlinear behavior …
commodities market. However, price movements present more complex nonlinear behavior …
Multi-step-ahead stock price prediction using recurrent fuzzy neural network and variational mode decomposition
H Nasiri, MM Ebadzadeh - Applied Soft Computing, 2023 - Elsevier
Financial time series prediction has attracted considerable interest from scholars, and
several approaches have been developed. Among them, decomposition-based methods …
several approaches have been developed. Among them, decomposition-based methods …
Random vector functional link neural network based ensemble deep learning for short-term load forecasting
Electric load forecasting is essential for the planning and maintenance of power systems.
However, its un-stationary and non-linear properties impose significant difficulties in …
However, its un-stationary and non-linear properties impose significant difficulties in …
Transformer-based forecasting for intraday trading in the Shanghai crude oil market: Analyzing open-high-low-close prices
W Huang, T Gao, Y Hao, X Wang - Energy Economics, 2023 - Elsevier
The Shanghai crude oil futures market exudes distinct speculative attributes, underscoring
the pivotal significance of precise price forecasts. Accurate forecasting of Shanghai crude oil …
the pivotal significance of precise price forecasts. Accurate forecasting of Shanghai crude oil …