Výsledky vyhľadávania - "sampling stochastic dynamic programming"

Designing Resilient Multipurpose Reservoir Operation Policies in Presence of Internal Climate Variability

Autori: Divya Upadhyay Udit Bhatia

Zdroj: Water Resources Research, Vol 61, Iss 7, Pp n/a-n/a (2025)

Predmety: Environmental sciences, water demand uncertainty, internal climate variability, model uncertainty, GE1-350, sampling stochastic dynamic programming, multipurpose reservoir operation

Prístupová URL adresa: https://doaj.org/article/70df419e6bf048d7ab6638f34dc72ac0

Multipurpose Reservoir Operation: a Multi-Scale Tradeoff Analysis between Hydropower Generation and Irrigated Agriculture

Autori: Josué Medellín-Azuara M. A. Olivares Rodrigo Moreno a ďalší

Zdroj: Gonzalez, J M, Olivares, M A, Medellin-Azuara, J & Moreno, R 2020, ' Multipurpose Reservoir Operation: a Multi-Scale Tradeoff Analysis between Hydropower Generation and Irrigated Agriculture ', Water Resources Management . https://doi.org/10.1007/s11269-020-02586-5

Predmety: 13. Climate action, 0208 environmental biotechnology, 0207 environmental engineering, Irrigation and hydropowerwater demand conflicts, ResearchInstitutes_Networks_Beacons/MERI, name=Manchester Environmental Research Institute, 02 engineering and technology, Manchester Environmental Research Institute, Sampling stochastic dynamic programming (SSDP), 7. Clean energy, 6. Clean water

Popis súboru: application/pdf

Prístupová URL adresa: https://research.manchester.ac.uk/en/publications/37500ab3-8681-4817-9e39-0e656334ff27
https://doi.org/10.1007/s11269-020-02586-5
https://www.research.manchester.ac.uk/portal/en/publications/multipurpose-reservoir-operation-a-multiscale-tradeoff-analysis-between-hydropower-generation-and-irrigated-agriculture(37500ab3-8681-4817-9e39-0e656334ff27).html
https://ideas.repec.org/a/spr/waterr/v34y2020i9d10.1007_s11269-020-02586-5.html
https://link.springer.com/article/10.1007/s11269-020-02586-5
https://rdcu.be/b4S1C
https://research.manchester.ac.uk/en/publications/37500ab3-8681-4817-9e39-0e656334ff27
https://doi.org/10.1007/s11269-020-02586-5

Combined Aggregated Sampling Stochastic Dynamic Programming and Simulation-Optimization to Derive Operation Rules for Large-Scale Hydropower System

Autori: Xinyu Wu Rui Guo Xilong Cheng a ďalší

Zdroj: Energies, Vol 14, Iss 3, p 625 (2021)

Predmety: genetic algorithm, hydropower, operation rule, simulation-optimization, sampling stochastic dynamic programming, Technology

Relation: https://www.mdpi.com/1996-1073/14/3/625; https://doaj.org/toc/1996-1073; https://doaj.org/article/eae3619899014d47ae00f2c1c443a4a2

Dostupnosť: https://doi.org/10.3390/en14030625
https://doaj.org/article/eae3619899014d47ae00f2c1c443a4a2

Monthly Joint Operations for the Nakdong Multi-reservoir System in Korea

Autori: Kim, Young-Oh Eum, Hyung-Il Kim, Sang Uk a ďalší

Prispievatelia: Kim, Young-Oh Eum, Hyung-Il Kim, Sang Uk a ďalší

Predmety: Joint operations, multi-reservoir system, sampling stochastic dynamic programming, ensemble streamflow prediction, SSARR rainfall runoff model, STELLA simulation model, Korea

Relation: https://hdl.handle.net/10371/67727

Dostupnosť: https://hdl.handle.net/10371/67727

Short-Term Hydropower Optimization Using A Time-Decomposition Algorithm

Autori: Lamontagne, Jonathan R. Stedinger, Jery Russell

Zdroj: International Conference on Hydroinformatics

Predmety: 2014 International Conference on Hydroinformatics HIC, Optimizing Short Term Reservoir Operations, sampling stochastic dynamic programming, optimization, forecasting, short-term operations, hydropower, S7-03, Special Session Optimizing Short Term Reservoir Operations III, Environmental Sciences, Physical Sciences and Mathematics, Water Resource Management, envir, geo

Relation: https://academicworks.cuny.edu/cc_conf_hic/332

Dostupnosť: https://academicworks.cuny.edu/cc_conf_hic/332