ArticleData in brief2020
Data on optimization of the Karun-4 hydropower reservoir operation using evolutionary algorithms.
Article in Data in brief, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- A hybrid NSGA II-CNN-LSTM model for optimal operation of hydropower reservoirs based on the day-ahead electricity price forecast.Scientific reports · 2026Article
- Optimal water supply reservoir operation by leveraging the meta-heuristic Harris Hawks algorithms and opposite based learning technique.Scientific reports · 2023Article
- A new optimization algorithm to solve multi-objective problems.Scientific reports · 2021Article
- Artificial intelligence accuracy assessment in NOScientific reports · 2021Article
- Dataset on sensitivity of water-energy nexus to Dez Dam power plant operation.Data in brief · 2020Article
- Data on optimization of the non-linear Muskingum flood routing in Kardeh River using Goa algorithm.Data in brief · 2020Article
- Data on optimal operation of Safarud Reservoir using symbiotic organisms search (SOS) algorithm.Data in brief · 2020Article
- Optimization of water distribution of network systems using the Harris Hawks optimization algorithm (Case study: Homashahr city).MethodsX · 2020Article
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Authors and funding
3 authors.
Funding
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Abstract
This article describes the time series data for optimizing the hydropower operation of the Karun-4 reservoir located in Iran for a period of 106 months (from October 2010 to July 2019). The utilized time-series data included reservoir inflow, reservoir storage, evaporation from the reservoir, precipitation on the reservoir, and release of water through the power plant. In this data article, a model based on Moth Swarm Algorithm (MSA) was developed for the optimization of water resources. The analysis showed that the best solutions achieved by the MSA, Genetic Algorithm (GA), and Particle Swarm Optimization (PSO) were 0.147, 0.3026, and 0.1584, respectively. The analysis of these datasets revealed that the MSA algorithm was superior to GA and PSO algorithms in the optimal operation of the hydropower reservoir problem.
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