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cs.LG2023★ 1 cited
Bridging AI and Energy Forecasting: An Autonomous Workflow with Customized Toolkit
Zhixian Wang, Leandro Von Krannichfeldt, Qingsong Wen +4
Energy forecasting is crucial for the power grid, but fundamentally different from general time series analysis: it highly relies on covariates like meteorological factors, and its…
cs.LG2023
SaDI: A Self-adaptive Decomposed Interpretable Framework for Electric Load Forecasting under Extreme Events
Hengbo Liu, Ziqing Ma, Linxiao Yang +5
Accurate prediction of electric load is crucial in power grid planning and management. In this paper, we solve the electric load forecasting problem under extreme events such as sc…