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Dataset for reservoir impoundment operation coupling parallel dynamic programming with importance sampling and successive approximation

The dataset contains reservoir characteristic parameters, streamflow series of reservoirs in the upper Yangtze River, the standard operating rules (SORs) and the seasonal top of buffer pools (seasonal TBPs) for these reservoirs, which were provided by the Yangtze River Commission. Moreover, annual h...

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Detalles Bibliográficos
Autores principales: He, Shaokun, Guo, Shenglian, Chen, Kebing, Deng, Lele, Liao, Zhen, Xiong, Feng, Yin, Jiabo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6736769/
https://www.ncbi.nlm.nih.gov/pubmed/31516958
http://dx.doi.org/10.1016/j.dib.2019.104440
Descripción
Sumario:The dataset contains reservoir characteristic parameters, streamflow series of reservoirs in the upper Yangtze River, the standard operating rules (SORs) and the seasonal top of buffer pools (seasonal TBPs) for these reservoirs, which were provided by the Yangtze River Commission. Moreover, annual hydropower of these reservoirs is tested to evaluate operation performance. These research materials are related to the research article in Advances in Water Resources, entitled ‘Optimal impoundment operation for cascade reservoirs coupling parallel dynamic programming with importance sampling and successive approximation’ (He et al., 2019). The dataset could be used to derive optimal operating rules to explore the potential benefits of water resources via our proposed algorithm (importance sampling – parallel dynamic programming, IS-PDP) in different runoff scenarios. It can also be further applied for water resources management and other potential users.