Improving Deep Learning Forecasting Model Based on LSTM for Türkiye’s Hydro-Electricity Generation

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...

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Bibliographic Details
Main Author:	Mehmet Bulut
Format:	Article
Language:	English
Published:	Sakarya University 2024-12-01
Series:	Sakarya University Journal of Computer and Information Sciences
Subjects:	hydroelectric power electricity production forecasting deep learning long short term memory
Online Access:	https://dergipark.org.tr/en/download/article-file/4013362
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