Abstract: Recently the performance of long-term time series forecasting has been greatly improved by deep models. In this paper, we propose a general framework called Multi-scale Moving Transformation ...
Abstract: Accurate load forecasting is crucial for modern power systems but faces challenges like data scarcity, tool limitations, and lack of institutional support. Inaccurate forecasts lead to ...
UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...
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