Two simplex-based approximate stochastic dynamic programming schemes for a real hydropower management problem

We present an approximate stochastic dynamic programming methodology for a real-world hydropower management problem, in which water must be released from reservoirs to produce electricity to power aluminum smelters over a planning horizon of a year (three-day time step). In each period, decisions ar...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Annals of operations research Ročník 351; číslo 1; s. 333 - 364
Hlavní autori:	Zephyr, Luckny, Lamond, Bernard F., Demeester, Kenjy, Latraverse, Marco
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.08.2025 Springer Nature B.V
Predmet:	Algorithms Apexes Approximation Artificial intelligence Business and Management Combinatorics Decomposition Dynamic programming Electricity Errors Hydroelectric power Hydrology Lower bounds Monte Carlo simulation Operations Research/Decision Theory Original Research Reservoirs Smelters Theory of Computation Water Water shortages Canada Approximate stochastic dynamic programming Simplex Stochastic dynamic programming Hydropower Monte Carlo simulation Data envelopment analysis
ISSN:	0254-5330, 1572-9338
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!