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EnergyBidSim

EnergyBidSim

Ankush Tandon / Pooja Jain

137,32 €
IVA incluido
Disponible
Editorial:
KS OmniScriptum Publishing
Año de edición:
2025
Materia
Empresa y gestión
ISBN:
9786209142659
137,32 €
IVA incluido
Disponible

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Sobre IBD

Niniejsza książka przedstawia zaawansowane algorytmy metaheurystyczne i system wieloagentowy (MAS) do inteligentnego licytowania na zrestrukturyzowanym rynku energii z jednodniowym wyprzedzeniem. Zaproponowano ulepszone wersje algorytmów Moth Flame Optimizer (OB-MFO), Firefly Algorithm (RFA) i hybrydowego WOA-SCA z wykorzystaniem technik uczenia się opartych na opozycji i technik adaptacyjnych, wykazując doskonałą wydajność w testach porównawczych. Algorytmy te są stosowane w scenariuszach licytacji rynkowych w warunkach niepewności, ocenianych przy użyciu takich wskaźników, jak zmienność cen i siła rynkowa. Wprowadzono również warstwową strukturę MAS, umożliwiającą dynamiczne podejmowanie decyzji przy niepełnych danych. Wyniki na systemach testowych, w tym na magistrali IEEE-14, pokazują lepszą dokładność i wydajność w porównaniu z tradycyjnymi metodami.

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