Suchergebnisse - state-space approximate dynamic programming algorithm

Stochastic optimal dispatch of PV/wind/diesel/battery microgrids using state‐space approximate dynamic programming

Autoren: Shunjiang Lin Yaping Wang Mingbo Liu et al.

Quelle: IET Generation, Transmission & Distribution. 13:3409-3420

Schlagwörter: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Zugangs-URL: https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/iet-gtd.2018.5840
https://ieeexplore.ieee.org/document/8826749
https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2018.5840
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-gtd.2018.5840

A quantum-inspired approximate dynamic programming algorithm for unit commitment problems considering wind power

Autoren: Hua Qin Hua Wei

Quelle: 2017 IEEE International Conference on Smart Grid and Smart Cities (ICSGSC). :94-98

Schlagwörter: 2. Zero hunger, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Zugangs-URL: https://ieeexplore.ieee.org/document/8038556/

State-space approximate dynamic programming for stochastic unit commitment

Autoren: Daniel Nikovski Weihong Zhang

Quelle: 2011 North American Power Symposium. :1-7

Schlagwörter: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: http://www.merl.com/publications/docs/TR2011-046.pdf
https://ieeexplore.ieee.org/document/6025113/
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000006025113

Approximate dynamic programming for revenue management in attended home delivery

Autoren: Lebedev, Denis Margellos, Kostas Goulart, Paul

Weitere Verfasser: Lebedev, Denis Margellos, Kostas Goulart, Paul

Schlagwörter: 658.15, Pricing, Revenue management, Delivery of goods, Approximate computing, Electronic commerce

Zugangs-URL: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.833316

A fix and optimize method based approximate dynamic programming approach for the strategic fleet sizing and delivery planning problem.

Autoren: Aghazadeh, Duygu Ertogral, Kadir

Quelle: Central European Journal of Operations Research; Mar2025, Vol. 33 Issue 1, p91-119, 29p

Schlagwörter: INVENTORY costs, OPERATING costs, DYNAMIC programming, DISTRIBUTION costs, PRODUCT costing

Dynamic resource levelling in projects under uncertainty.

Autoren: Li, Hongbo Zhang, Xianchao Sun, Jinshuai et al.

Quelle: International Journal of Production Research; Jan 2023, Vol. 61 Issue 1, p198-218, 21p, 3 Diagrams, 9 Charts, 4 Graphs

Schlagwörter: DYNAMIC programming, MARKOV processes, SCHEDULING, PROJECT management, METAHEURISTIC algorithms, ALGORITHMS, DISTRIBUTED algorithms, DECODING algorithms

An Approximate Dynamic Programming Algorithm for Monotone Value Functions

Autoren: Warren B. Powell Daniel R. Jiang

Quelle: Operations Research. 63:1489-1511

Schlagwörter: Optimization and Control (math.OC), 13. Climate action, FOS: Mathematics, 0211 other engineering and technologies, 02 engineering and technology, 0101 mathematics, Mathematics - Optimization and Control, 01 natural sciences, 7. Clean energy

Zugangs-URL: http://arxiv.org/pdf/1401.1590
http://arxiv.org/abs/1401.1590
https://dialnet.unirioja.es/servlet/articulo?codigo=5343999
http://castlelab.princeton.edu/Papers/Jiang-MonotoneADP_arxiv_V4_May252015.pdf
https://pubsonline.informs.org/doi/10.1287/opre.2015.1425
http://doi.org/10.1287/opre.2015.1425
https://collaborate.princeton.edu/en/publications/an-approximate-dynamic-programming-algorithm-for-monotone-value-f
https://castlelab.princeton.edu/Papers/Jiang-MonotoneADP_arxiv_V4_May252015.pdf

Stochastic optimal dispatch of offshore-onshore regional integrated energy system based on improved state-space approximate dynamic programming.

Autoren: Pan, Yue Lin, Shunjiang Liang, Weikun et al.

Quelle: International Journal of Electrical Power & Energy Systems. Jan2024:Part B, Vol. 155, pN.PAG-N.PAG. 1p.

Schlagwörter: *DYNAMIC programming, *WIND power, *NEWSVENDOR model, *CARBON offsetting, *HEAT storage, *OFFSHORE gas well drilling

Insect pest control, approximate dynamic programming, and the management of the evolution of resistance

Autoren: Hackett, Sean C. Bonsall, Michael B.

Quelle: Ecological Applications, 2019 Mar 01. 29(2), 1-13.

Zugangs-URL: https://www.jstor.org/stable/26623327

Stochastic optimal dispatch of PV/wind/ diesel/battery microgrids using state-space approximate dynamic programming.

Autoren: Shunjiang Lin Yaping Wang Mingbo Liu et al.

Quelle: IET Generation, Transmission & Distribution (Wiley-Blackwell); 2019, Vol. 13 Issue 15, p3409-3420, 12p, 4 Diagrams, 6 Charts, 14 Graphs

Schlagwörter: STOCHASTIC programming, DYNAMIC programming, MICROGRIDS, NONCONVEX programming, PARALLEL programming, DIESEL electric power-plants

Approximate Dynamic Programming for Military Medical Evacuation Dispatching Policies.

Autoren: Jenkins, Phillip R. Robbins, Matthew J. Lunday, Brian J.

Quelle: INFORMS Journal on Computing. Winter2021, Vol. 33 Issue 1, p2-26. 25p.

Schlagwörter: *DYNAMIC programming, *CIVILIAN evacuation, *MARKOV processes

Geografische Kategorien: AZERBAIJAN

A Novel Quantum-Inspired Approximate Dynamic Programming Algorithm for Unit Commitment Problems

Autoren: Hua Qin

Quelle: Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control.

Schlagwörter: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://download.atlantis-press.com/article/25852350.pdf
https://www.atlantis-press.com/proceedings/icmemtc-16/25852350

Stochastic optimal dispatch of PV/wind/diesel/battery microgrids using state‐space approximate dynamic programming.

Autoren: Lin, Shunjiang Wang, Yaping Liu, Mingbo et al.

Quelle: IET Generation, Transmission & Distribution (Wiley-Blackwell); Aug2019, Vol. 13 Issue 15, p3409-3420, 12p

Data mining for state space orthogonalization in adaptive dynamic programming.

Autoren: Ariyajunya, Bancha Chen, Ying Chen, Victoria C.P. et al.

Quelle: Expert Systems with Applications. Jun2017, Vol. 76, p49-58. 10p.

Schlagwörter: *DATA mining, *ORTHOGONALIZATION, *DYNAMIC programming, *ARTIFICIAL intelligence, *MULTICOLLINEARITY

Metalearning of time series: an approximate dynamic programming approach.

Autoren: Collado, Ricardo A. Creamer, Germán G.

Quelle: Quantitative Finance; Apr2023, Vol. 23 Issue 4, p539-551, 13p

Schlagwörter: DYNAMIC programming, TIME series analysis, FORECASTING

Dynamic migratory beekeeping route recommendation based on spatio-temporal distribution of nectar sources.

Autoren: Ma, Minghong Yang, Fei

Quelle: Annals of Operations Research; Oct2024, Vol. 341 Issue 2/3, p1075-1105, 31p

Schlagwörter: BEE products, DYNAMIC programming, MARKOV processes, ONLINE education, BEEKEEPING

Allocating resources via price management systems: a dynamic programming-based approach.

Autoren: Forootani, Ali Liuzza, Davide Tipaldi, Massimo et al.

Quelle: International Journal of Control. Aug2021, Vol. 94 Issue 8, p2123-2143. 21p.

Schlagwörter: *DYNAMICAL systems, *DYNAMIC programming, *STOCHASTIC programming, *RESOURCE allocation, *PARALLEL processing

Management of a stage‐structured insect pest: an application of approximate optimization.

Autoren: Hackett, Sean C. Bonsall, Michael B.

Quelle: Ecological Applications. Jun2018, Vol. 28 Issue 4, p938-952. 15p.

Schlagwörter: Mediterranean fruit-fly, Dynamic programming, State-space methods, Insect sterilization, Reproduction

Prediction-failure-risk-aware online dial-a-ride scheduling considering spatial demand correlation via approximate dynamic programming and scenario approach.

Autoren: Wu, Weitiao Zou, Honghui Liu, Ronghui

Quelle: Transportation Research Part C: Emerging Technologies. Dec2024, Vol. 169, pN.PAG-N.PAG. 1p.

Schlagwörter: *MARGINAL distributions, *MARKOV processes, *DEMAND forecasting, *DYNAMIC programming, *DECISION making, *QUANTILE regression

A kernel-based approximate dynamic programming approach: Theory and application.

Autoren: Forootani, Ali Iervolino, Raffaele Tipaldi, Massimo et al.

Quelle: Automatica. Apr2024, Vol. 162, pN.PAG-N.PAG. 1p.

Schlagwörter: *DYNAMIC programming, *COST functions, *SUPPORT vector machines, *KERNEL functions, *TIME perspective