Energyspatiotemporal forecasting with imputationvalidated in experiments on real nyiso multi-regional load data; appears at advanced research/pilot stage rather than proven broad production deployment.

Short-term multi-regional power load forecasting with missing-data reconstruction

An electric grid operator uses AI to predict how much electricity different regions will need in the next short-term period, even when some sensor data is missing. The system first fills in gaps in the data, then learns how neighboring regions influence each other over time.

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