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Found 3 papers, 1 papers with code
A Fully Adaptive DRO Multistage Framework Based on MDR for Generation Scheduling under Uncertainty
Abstract—The growing proliferation of wind power into the power grid achieves a low-cost sustainable electricity supply while introducing technical challenges with associ-ated intermittency.
Sequence to Point Learning Based on Bidirectional Dilated Residual Network for Non Intrusive Load Monitoring
Non Intrusive Load Monitoring (NILM) or Energy Disaggregation (ED), seeks to save energy by decomposing corresponding appliances power reading from an aggregate power reading of the whole house.
Low-Dose CT via Deep CNN with Skip Connection and Network in Network
The use of deep convolutional (Conv) neural networks for noise reduction in Low-Dose CT (LDCT) images has recently shown a great potential in this important application.
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