Forecasting regional carbon prices in china with a hybrid model based on quadratic decomposition and comprehensive feature screening.
In light of global climate change and the objective of carbon neutrality, the carbon market has become an important tool for the international community to combat climate change. Nonetheless, due to the complexity and non-linear nature of the carbon price, its accurate prediction has always been a r...
Saved in:
| Main Author: | Yaoyang Yi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0326926 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Short-term Load Forecasting Based on CNN-LSTM with Quadratic Decomposition Combined
by: DENG Bowen, et al.
Published: (2023-08-01) -
Metal commodity futures price forecasting based on a hybrid secondary decomposition error-corrected model
by: Yuetong Zhang, et al.
Published: (2025-07-01) -
A Novel Hybrid Approach to Forecasting Crude Oil Prices Using Local Mean Decomposition, ARIMA, and XGBoost
by: Jawaria Nasir, et al.
Published: (2025-01-01) -
Coal Price Forecasting Using CEEMDAN Decomposition and IFOA-Optimized LSTM Model
by: Zhuang Liu, et al.
Published: (2025-07-01) -
A Time Series Decomposition-Based Interpretable Electricity Price Forecasting Method
by: Yuanke Cu, et al.
Published: (2025-01-01)