Battle of Water Demand Forecasting: An Optimized Deep Learning Model
Ensuring a steady supply of drinking water is crucial for communities, but predicting how much water will be needed is challenging because of uncertainties. As a part of Battle of Water Demand Forecasting (BWDF), this study delves into the application of Long Short-Term Memory (LSTM) networks for wa...
Gardado en:
| Principais autores: | , , |
|---|---|
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
MDPI AG
2024-09-01
|
| Series: | Engineering Proceedings |
| Assuntos: | |
| Acceso en liña: | https://www.mdpi.com/2673-4591/69/1/56 |
| Tags: |
Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!
|