most citedNavigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2023★ 2 cited

Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning

Arian Prabowo, Kaixuan Chen, Hao Xue +2

In traditional deep learning algorithms, one of the key assumptions is that the data distribution remains constant during both training and deployment. However, this assumption bec…

cs.AI2023

RAI4IoE: Responsible AI for Enabling the Internet of Energy

Minhui Xue, Surya Nepal, Ling Liu +5

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. The energy sector…