Data on optimal operation of Safarud Reservoir using symbiotic organisms search (SOS) algorithm

This data article explains the time-series data for optimal operation of Safarud Reservoir located in Halilrood basin in the south of Iran for a period of 223 months, from October 2000 to April 2019. The utilized data included the release of the reservoir, reservoir inflow, reservoir storage, evapor...

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Autores principales: Rezaei-Estakhroueiyeh, Aliakbar, Jalalkamali, Navid, Momeniroghabadi, Mehdi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Computer Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7078506/
https://www.ncbi.nlm.nih.gov/pubmed/32195294
http://dx.doi.org/10.1016/j.dib.2020.105327
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author Rezaei-Estakhroueiyeh, Aliakbar
Jalalkamali, Navid
Momeniroghabadi, Mehdi
author_facet Rezaei-Estakhroueiyeh, Aliakbar
Jalalkamali, Navid
Momeniroghabadi, Mehdi
author_sort Rezaei-Estakhroueiyeh, Aliakbar
collection PubMed
description This data article explains the time-series data for optimal operation of Safarud Reservoir located in Halilrood basin in the south of Iran for a period of 223 months, from October 2000 to April 2019. The utilized data included the release of the reservoir, reservoir inflow, reservoir storage, evaporation and precipitation. A model based on Symbiotic Organisms Search (SOS) algorithm was also developed for the optimal operation of Safarud Reservoir. The analysis of the objective function showed that the best solution achieved by the SOS algorithm was 10.89. Also, the analysis of these datasets revealed that the SOS algorithm was efficient for the optimal operation of the reservoir problem.
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spelling pubmed-70785062020-03-19 Data on optimal operation of Safarud Reservoir using symbiotic organisms search (SOS) algorithm Rezaei-Estakhroueiyeh, Aliakbar Jalalkamali, Navid Momeniroghabadi, Mehdi Data Brief Computer Science This data article explains the time-series data for optimal operation of Safarud Reservoir located in Halilrood basin in the south of Iran for a period of 223 months, from October 2000 to April 2019. The utilized data included the release of the reservoir, reservoir inflow, reservoir storage, evaporation and precipitation. A model based on Symbiotic Organisms Search (SOS) algorithm was also developed for the optimal operation of Safarud Reservoir. The analysis of the objective function showed that the best solution achieved by the SOS algorithm was 10.89. Also, the analysis of these datasets revealed that the SOS algorithm was efficient for the optimal operation of the reservoir problem. Elsevier 2020-02-26 /pmc/articles/PMC7078506/ /pubmed/32195294 http://dx.doi.org/10.1016/j.dib.2020.105327 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Computer Science
Rezaei-Estakhroueiyeh, Aliakbar
Jalalkamali, Navid
Momeniroghabadi, Mehdi
Data on optimal operation of Safarud Reservoir using symbiotic organisms search (SOS) algorithm
title Data on optimal operation of Safarud Reservoir using symbiotic organisms search (SOS) algorithm
title_full Data on optimal operation of Safarud Reservoir using symbiotic organisms search (SOS) algorithm
title_fullStr Data on optimal operation of Safarud Reservoir using symbiotic organisms search (SOS) algorithm
title_full_unstemmed Data on optimal operation of Safarud Reservoir using symbiotic organisms search (SOS) algorithm
title_short Data on optimal operation of Safarud Reservoir using symbiotic organisms search (SOS) algorithm
title_sort data on optimal operation of safarud reservoir using symbiotic organisms search (sos) algorithm
topic Computer Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7078506/
https://www.ncbi.nlm.nih.gov/pubmed/32195294
http://dx.doi.org/10.1016/j.dib.2020.105327
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