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Dokumenttyp:
Zeitschriftenaufsatz 
Autor(en):
Löhndorf, N.; Wozabal, D.; Minner, S. 
Nicht-TUM Koautoren:
ja 
Kooperation:
international 
Titel:
Optimizing Trading Decisions for Hydro Storage Systems using Approximate Dual Dynamic Programming 
Abstract:
We propose a new approach to optimize operations of hydro storage systems with multiple connected reservoirs whose operators participate in wholesale electricity markets. Our formulation integrates short-term intraday with long-term interday decisions. The intraday problem considers bidding decisions as well as storage operation during the day and is formulated as a stochastic program. The interday problem is modeled as a Markov decision process of managing storage operation over time, for which...    »
 
Stichworte:
OR in energy; stochastic programming; Markov decision processes; approximate dynamic programming 
Intellectual Contribution:
Discipline-based Research 
Zeitschriftentitel:
Operations Research 
Journal gelistet in FT50 Ranking:
Operations Research 
Jahr:
2013 
Band / Volume:
61 
Heft / Issue:
Seitenangaben Beitrag:
810-823 
Nachgewiesen in:
Scopus; Web of Science 
Sprache:
en 
Status:
Erstveröffentlichung 
Publikationsdatum:
22.08.2013 
Key publication:
Ja 
Peer reviewed:
Ja 
International:
Ja 
Book review:
Nein 
commissioned:
not commissioned 
Professional Journal:
Nein 
Interdisziplinarität:
Ja 
Leitbild:
Energy, Climate, Environment 
Ethics & Sustainability:
Ja