An Adaptive Variable-Weight Combination Forecasting Method for Energy Product Sales Based on Meta-Learning
Accurate energy product sales forecasting is one of the core tasks of energy planning modeling and is crucial for the sustainability of the energy supply chain. However, energy product sales data have both linear and nonlinear features, and it is difficult for a single model to effectively balance t...
Saved in:
| Main Author: | Meitian Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11062571/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Energy Services Demand Forecasting Combined with Feature Preferences and Bidirectional Long- and Short-Term Memory Networks
by: KANG Feng, TAN Huochao, SU Liwei, JIAN Donglin, WANG Shuai, QIN Hao, ZHANG Yongjun
Published: (2025-07-01) -
FORECASTING AUTOMOBILE DEMAND AND SALES IN THE NIGERIAN MARKET: A MACHINE LEARNING APPROACH TO URBAN MOBILITY, MARKET COMPETITION, AND POLICY INSIGHTS
by: Emmanuel Imuede Oyasor
Published: (2024-09-01) -
Big Data Techniques Applied to Forecast Photovoltaic Energy Demand in Spain
by: J. Tapia-García, et al.
Published: (2024-07-01) -
Qinghai Energy Demand Forecasting and Development Strategy Research under the Background of Construction of Clean Energy Demonstration Province
by: Hongxia LI, et al.
Published: (2021-07-01) -
Developing a demand planning strategy for joint forecasting and employing analytical tool in an empirical case study
by: Kiran Basavaraju, et al.
Published: (2025-04-01)