Adaptive stochastic management of the storage function for a large open reservoir using an artificial intelligence method
The design and evaluation of algorithms for adaptive stochastic control of reservoir function of the water reservoir using artificial intelligence methods (learning fuzzy model and neural networks) are described in this article. This procedure was tested on an artificial reservoir. Reservoir paramet...
Main Authors: | Kozel Tomas, Stary Milos |
---|---|
Format: | Article |
Language: | English |
Published: |
Sciendo
2019-12-01
|
Series: | Journal of Hydrology and Hydromechanics |
Subjects: | |
Online Access: | https://doi.org/10.2478/johh-2019-0021 |
Similar Items
-
Adaptive stochastic management of the storage function for a large, open reservoir using learned fuzzy models
by: Kozel Tomas, et al.
Published: (2022-06-01) -
A stochastic approach to the operative control of flood flows through a reservoir
by: Jaroš Lubomír, et al.
Published: (2016-03-01) -
Risk‐based stochastic scheduling of centralised and distributed energy storage systems
by: Majid Majidi, et al.
Published: (2023-12-01) -
Monitoring of dam reservoir storage with multiple satellite sensors and artificial intelligence
by: Omid Memarian Sorkhabi, et al.
Published: (2022-12-01) -
Stochastic Diffusion Search: A Comparison of Swarm Intelligence Parameter Estimation Algorithms with RANSAC
by: Howard Williams, et al.
Published: (2014-05-01)