A hybrid model for multi-step coal price forecasting using decomposition technique and deep learning algorithms

K Zhang, H Cao, J Thé, H Yu - Applied Energy, 2022 - Elsevier
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 …

Short-term wind power forecasting based on multi-scale receptive field-mixer and conditional mixture copula

J Li, J Chen, Z Chen, Y Nie, A Xu - Applied Soft Computing, 2024 - Elsevier
Integrating renewable wind power (WP) into the grid exacerbates variability and challenges
reliability. Establishing an effective forecasting system is crucial for risk avoidance, but …

A novel decomposition integration model for power coal price forecasting

S Wu, G Xia, L Liu - Resources Policy, 2023 - Elsevier
Accurate prediction of steam coal prices is important for stabilizing the coal trading market
and formulating coal use strategies scientifically. In this paper, a new decomposition …

Boundary optimization of inclined coal seam open-pit mine based on the ISSA–LSSVR coal price prediction method

B Cao, S Wang, R Bai, B Zhao, Q Li, M Lv, G Liu - Scientific Reports, 2023 - nature.com
As an important link in the complex system engineering project of open pit mining, the
quality of the boundary determines the performance of the project to a large extent …

[HTML][HTML] Point and Interval Forecasting of Coal Price Adopting a Novel Decomposition Integration Model

J Liu, L Liu - Energies, 2024 - mdpi.com
Accurate and trustworthy forecasting of coal prices can offer theoretical support for the
rational planning of coal industry output, which is of great importance in ensuring a stable …

Interval price predictions for coal using a new multi-scale ensemble model

S Wu, J Liu, L Liu - Energy, 2024 - Elsevier
Accurate coal price prediction is important for the development of coal policy and prevention
of coal market risks. The aim of this paper is to forecast coal prices in China by enhancing …

Improving Cryptocurrency Price Prediction Accuracy with Multi-Kernel Support Vector Regression Approach

SR Thumu, G Nellore - International Research Journal of …, 2024 - asianrepo.org
Cryptocurrencies are digital assets that have attracted a lot of investment and attention. It is
challenging and essential for investors and traders to predict their stock price movements …

Comparative study of the performance of support vector machines with various kernels

SU Nam, S Kim, HM Kim, YB Yu - East Asian mathematical journal, 2021 - koreascience.kr
A support vector machine (SVM) is a state-of-the-art machine learning model rooted in
structural risk minimization. SVM is underestimated with regards to its application to real …

Effect of Kernel in Support Vector Regression Method to Predict Surabaya Consumer Price Index Trend

AS Editya, N Kurniati, T Septianto… - 2021 IEEE 5th …, 2021 - ieeexplore.ieee.org
Staple Food is a necessity that is needed by the people of Indonesia. This is very sensitive
when there is an increase or decrease in the price of basic foodstuffs. In the calculations at …

Short Term Coal Price Prediction Based on VMD-Informer-LSTM Model Considering Error Compensation

H Huang, J Li, X Zhang, B Wen, Z Yu… - 2024 9th Asia …, 2024 - ieeexplore.ieee.org
The sustainable and healthy development of coal-fired power enterprises plays an important
role in building a new type power system. The higher the proportion of installed renewable …