Novel deep neural network architecture fusion to simultaneously predict short-term and long-term energy consumption.
Energy is integral to the socio-economic development of every country. This development leads to a rapid increase in the demand for energy consumption. However, due to the constraints and costs associated with energy generation resources, it has become crucial for both energy generation companies an...
Saved in:
Main Authors: | Abrar Ahmed, Safdar Ali, Ali Raza, Ibrar Hussain, Ahmad Bilal, Norma Latif Fitriyani, Yeonghyeon Gu, Muhammad Syafrudin |
---|---|
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.0315668 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Novel deep neural network architecture fusion to simultaneously predict short-term and long-term energy consumption
by: Abrar Ahmed, et al.
Published: (2025-01-01) -
Citrus diseases detection using innovative deep learning approach and Hybrid Meta-Heuristic.
by: Nouman Butt, et al.
Published: (2025-01-01) -
Short-term power consumption forecasting using neural networks with first- and second-order differencing
by: Meftah Elsaraiti
Published: (2024-10-01) -
Short-Term Traffic Flow Prediction with Weather Conditions: Based on Deep Learning Algorithms and Data Fusion
by: Yue Hou, et al.
Published: (2021-01-01) -
Short-Term and Long-Term Effects of Sharia Supervision on Banks' Performance
by: Azam Ahmadyan
Published: (2023-06-01)