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Privacy Preserving in Non-Intrusive Load Monitoring: A Differential Privacy Perspective
In this paper, we cast one-shot non-intrusive load monitoring (NILM) in the compressive sensing framework, and bridge the gap between theoretical accuracy of NILM inference and differential privacy's parameters.
Effective End-to-End Learning Framework for Economic Dispatch
Conventional wisdom to improve the effectiveness of economic dispatch is to design the load forecasting method as accurately as possible.
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