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Found 4 papers, 2 papers with code
RAI4IoE: Responsible AI for Enabling the Internet of Energy
This paper plans to develop an Equitable and Responsible AI framework with enabling techniques and algorithms for the Internet of Energy (IoE), in short, RAI4IoE.
Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning
In traditional deep learning algorithms, one of the key assumptions is that the data distribution remains constant during both training and deployment.
Continually learning out-of-distribution spatiotemporal data for robust energy forecasting
One of the primary reasons for this is the shift in distribution of occupancy patterns, with many people working or learning from home.
Building Metadata Inference Using a Transducer Based Language Model
Solving the challenges of automatic machine translation of Building Automation System text metadata is a crucial first step in efficiently deploying smart building applications.
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