Enhancing Residential Electricity Consumption Forecasting with Meta-Heuristic Algorithms
The growing global population has significantly increased energy demand, particularly in the residential building sector. This surge underscores the necessity for accurate energy consumption forecasting to facilitate effective planning and future demand projections. However, traditional methods such...
Saved in:
| Main Authors: | Milad Mohebbi, Behnam Sobhani |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Bilijipub publisher
2024-06-01
|
| Series: | Advances in Engineering and Intelligence Systems |
| Subjects: | |
| Online Access: | https://aeis.bilijipub.com/article_199248_309092a4e5a38e27a32f5ea4a9921393.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Short-term residential electricity consumption forecast considering the cumulative effect of temperature, dual decomposition technology and integrated deep learning
by: Lanlan Wang, et al.
Published: (2025-07-01) -
A Dendritic Neural Network-Based Model for Residential Electricity Consumption Prediction
by: Ting Jin, et al.
Published: (2025-02-01) -
Update of specific electric loads of public premises located in residential buildings
by: Yu. I. Soluyanov, et al.
Published: (2021-07-01) -
Variances in Residential Heating Consumption
by: Paula van den Brom, et al.
Published: (2020-02-01) -
Forecasting Industrial Electricity Consumption in Iran: A Novel Hybrid Approach for Sustainable Energy Management
by: Mohsen Rezaei
Published: (2024-10-01)