Amazon Technologies, Inc.

Pradeep Chowdary Mandava

Ivan Borges Oliveira

Burak Karacik

Dmitriy Belyi

Sharmin Pathan

Daniel Thomas Meiller

Ravikanth Kundurthi

Techniques for allocating resources and generating resource allocation instructions are described herein. A model can generate a historical error for resources of a facility based on a first set of predicted resource imbalances and historical data for resources imbalances of the facility for a first set of previous time periods. The model can receive a second predicted resource imbalance for the resources of the facility associated with a first future time period. The model can receive real-time signals for states of the resources of the facility associated with a present time period. The model can generate an adjusted resource prediction for the resources of the facility based at least in part on the historical error, the second predicted resource imbalance, and the real-time resource signals. The adjusted resource prediction can be associated with the first future time period.

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Sammamish, WA, United States of America

Pradeep Chowdary Mandava