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Describe how you will integrate Qdrant into your BESS optimization system. Explain how Qdrant will store and retrieve vector embeddings of historical market conditions, battery degradation states, or optimal dispatch decisions to inform real-time control. How will you use Qdrant to improve the speed and relevance of decision-making, perhaps by identifying similar historical scenarios for rapid strategy adaptation? Provide example queries you might run against Qdrant.
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