Cargando…
A Review of Reservoir Operation Optimisations: from Traditional Models to Metaheuristic Algorithms
Reservoir operation optimisation secures benefits, such as optimising energy production while minimising the possibility of flooding, operating costs, and water scarcity, at the lowest possible cost. This paper carries reviews of research on reservoir optimisation models and the consequential challe...
Autores principales: | Lai, Vivien, Huang, Yuk Feng, Koo, Chai Hoon, Ahmed, Ali Najah, El-Shafie, Ahmed |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8877748/ https://www.ncbi.nlm.nih.gov/pubmed/35250256 http://dx.doi.org/10.1007/s11831-021-09701-8 |
Ejemplares similares
-
Optimal water supply reservoir operation by leveraging the meta-heuristic Harris Hawks algorithms and opposite based learning technique
por: Lai, V., et al.
Publicado: (2023) -
Metaheuristics for multiobjective optimisation
por: Gandibleux, Xavier, et al.
Publicado: (2004) -
Predicting sea levels using ML algorithms in selected locations along coastal Malaysia
por: Hazrin, Nur Alyaa, et al.
Publicado: (2023) -
Metaheuristic Optimisation Algorithms for Tuning a Bioinspired Retinal Model †
por: Crespo-Cano, Rubén, et al.
Publicado: (2019) -
Predicting suspended sediment load in Peninsular Malaysia using support vector machine and deep learning algorithms
por: Essam, Yusuf, et al.
Publicado: (2022)