Improving Deep Learning Forecasting Model Based on LSTM for Türkiye’s Hydro-Electricity Generation
Electricity production in hydraulic power plants depends on the amount of water coming into the basin. This varies depending on precipitation such as snow and rain during the year, but when looking at the years, production is shaped according to the years when meteorological data are similar to each...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Sakarya University
2024-12-01
|
| Series: | Sakarya University Journal of Computer and Information Sciences |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/en/download/article-file/4013362 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!