14 citations · 17 across the 3 of their papers we have counts for
4 papers
Carbon Footprint Accounting Driven by Large Language Models and Retrieval-augmented Generation
Haijin Wang, Mianrong Zhang, Zheng Chen +4
Carbon footprint accounting is crucial for quantifying greenhouse gas emissions and achieving carbon neutrality.The dynamic nature of processes, accounting rules, carbon-related po…
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…
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…
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…