Artificial neural network model for predicting water inflow into a reservoir
RELEVANCE of this study lies in the use of an artificial neural network to predict the volume of water in the Coca reservoir (Coca hydroelectric power station in Ethiopia). As you know, hydropower, being renewable energy, is one of the technologies that produce electricity with the least impact on g...
Saved in:
| Main Authors: | A. N. Shilin, M. A. Bogale, L. A. Konovalova |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Kazan State Power Engineering University
2024-10-01
|
| Series: | Известия высших учебных заведений: Проблемы энергетики |
| Subjects: | |
| Online Access: | https://www.energyret.ru/jour/article/view/3141 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Methods for Constructing Artificial Neural Networks for Data Classification
by: L. V. Serebryanaya
Published: (2022-06-01) -
Hydropower Plant Available Energy Forecasting Using Artificial Neural Network and Particle Swarm Optimization
by: Suriya Kaewarsa, et al.
Published: (2024-10-01) -
Neural Network Technologies in Predicting the Operating Status of Agricultural Enterprises
by: Aleksandr V. Grachev
Published: (2023-12-01) -
DIAGNOSIS AND PREDICTION OF CHOLECYSTITIS DEVELOPMENT ON THE BASIS OF NEURAL NETWORK ANALYSIS OF RISK FACTORS
by: V. A. Lazarenko, et al.
Published: (2017-12-01) -
Artificial Neural Network Approaches for Predicting the Heat Transfer in a Mini-Channel Heatsink with Alumina/Water Nanofluid
by: Mohammad Mahdi Tafarroj, et al.
Published: (2024-06-01)