3 papers
physics.ao-ph2022★ 3 cited
Near Real-time CO Emissions Based on Carbon Satellite and Artificial Intelligence
Zhengwen Zhang, Jinjin Gu, Junhua Zhao +2
To limit global warming to pre-industrial levels, global governments, industry and academia are taking aggressive efforts to reduce carbon emissions. The evaluation of anthropogeni…
cs.LG2021
Fed-NILM: A Federated Learning-based Non-Intrusive Load Monitoring Method for Privacy-Protection
Haijin Wang, Caomingzhe Si, Junhua Zhao +2
Non-intrusive load monitoring (NILM) is essential for understanding customer's power consumption patterns and may find wide applications like carbon emission reduction and energy c…
eess.SP2021
A Federated Learning Framework for Non-Intrusive Load Monitoring
Haijin Wang, Caomingzhe Si, Junhua Zhao
Non-intrusive load monitoring (NILM) aims at decomposing the total reading of the household power consumption into appliance-wise ones, which is beneficial for consumer behavior an…