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Factored MDPS for optimal prosumer decision-making

Georgios Chalkiadakis

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/8B2106EC-B273-4515-A482-A55E3EFB116B-
Αναγνωριστικόhttp://www.aamas2015.com/en/AAMAS_2015_USB/aamas/p503.pdf-
Γλώσσαen-
Μέγεθος8 pagesen
ΤίτλοςFactored MDPS for optimal prosumer decision-makingen
ΔημιουργόςGeorgios Chalkiadakisen
ΔημιουργόςAngelos Angelidakisen
ΕκδότηςInternational Foundation for Autonomous Agents and Multiagent Systemsen
ΠερίληψηTackling the decision-making problem faced by a prosumer (i.e., a producer that is simultaneously a consumer) when selling and buying energy in the emerging smart electricity grid, is of utmost importance for the economic profitability of such a business entity. In this paper, we model, for the first time, this problem as a factored Markov Decision Process. By so doing, we are able to represent the problem compactly, and provide an exact optimal solution via dynamic programming - notwithstanding its large size. Our model successfully captures the main aspects of the business decisions of a prosumer corresponding to a community microgrid of any size. Moreover, it includes appropriate sub-models for prosumer production and consumption prediction. Experimental simulations verify the effectiveness of our approach; and show that our exact value iteration solution matches that of a state-of-the-art method for stochastic planning in very large environments, while outperforming it in terms of computation time.en
ΤύποςΠλήρης Δημοσίευση σε Συνέδριοel
ΤύποςConference Full Paperen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-09-26-
Ημερομηνία Δημοσίευσης2015-
Θεματική ΚατηγορίαEXPERIMENTS AND RESULTSen
Θεματική ΚατηγορίαPROSUMER PRODUCTION AND CON- SUMPTION MODELSen
Θεματική ΚατηγορίαSOLVING THE FMDPen
Θεματική ΚατηγορίαOUR MODELen
Θεματική ΚατηγορίαBACKGROUND AND RELATED WORKen
Βιβλιογραφική ΑναφοράA. Angelidakis, G. Chalkiadakis .(2015, May) .Factored MDPS for Optimal prosumer Decision-Making.Presented at the 2015 International Conference on Autonomous Agents and Multiagent Systems.[online]. Available: http://www.aamas2015.com/en/AAMAS_2015_USB/aamas/p503.pdfen

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