A Diffusion–Attention-Enhanced Temporal (DATE-TM) Model: A Multi-Feature-Driven Model for Very-Short-Term Household Load Forecasting
With the proliferation of smart home devices and the ever-increasing demand for household energy management, very-short-term load forecasting (VSTLF) has become imperative for energy usage optimization, cost saving and for sustaining grid stability. Despite recent advancements, VSTLF in the househol...
Saved in:
| Main Authors: | Yitao Zhao, Jiahao Li, Chuanxu Chen, Quansheng Guan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-01-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/18/3/486 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An Informer Model for Very Short-Term Power Load Forecasting
by: Zhihe Yang, et al.
Published: (2025-02-01) -
Forecasting very short-term power load with hybrid interpretable deep models
by: Zhihe Yang, et al.
Published: (2025-12-01) -
Fluctuation Classification and Feature Factor Extraction to Forecast Very Short-Term Photovoltaic Output Powers
by: Mao Yang, et al.
Published: (2025-01-01) -
Modelling and Forecasting the Diffusion of Unicorn Startups
by: Lamia Bouaziz, et al.
Published: (2025-03-01) -
Lisansüstü Öğrenciler İçin Veri Okuryazarlığı Becerileri Ölçeği Uyarlama Çalışması
by: Yaren Ece Koçak, et al.
Published: (2024-12-01)