A new grey seasonal multivariate forecasting model and its application in energy consumption
Accurate energy consumption forecasting is of critical importance, as it enables governments, industries, and individuals to effectively plan for energy supply and demand, thereby reducing the risks associated with both oversupply and shortages. While prior research has explored various forecasting...
Saved in:
| Main Authors: | Jianming Jiang, Yandong Ban, Ming Zhang, Chiwen Qu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-05-01
|
| Series: | Energy Strategy Reviews |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2211467X25001208 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Novel disctete grey Bernoulli seasonal model with a time powter term for predicting monthly carbon dioxide emissions in the United States
by: Jianming Jiang, et al.
Published: (2025-01-01) -
The Implementation of Grey Forecasting Model for Forecast Result’s Food Crop Agricultural
by: Asfan Muqtadir, et al.
Published: (2016-11-01) -
Forcasting Natural Gas Consumption in Nigeria using the Modified Grey Model (MGM(1,1,⊗b))
by: Samuel O. Obi, et al.
Published: (2022-08-01) -
Forecasting the potential of global marine shipping carbon emission under artificial intelligence based on a novel multivariate discrete grey model
by: Zirui Zeng, et al.
Published: (2024-07-01) -
Forecasting the number of rural migrant workers in Chongqing using the optimized grey N_Verhulst model
by: Dai Liu, et al.
Published: (2025-01-01)