Short-term load forecasting (STLF) is challenging due to complex time series (TS) which express three seasonal patterns and a nonlinear trend. This article proposes a novel hybrid hierarchical ...

In this paper, we propose a versatile graph inference framework for learning from graph signals corrupted by exponential family noise. Our framework generalizes previous methods from continuous smooth ...

EV, they claim. They are pro-choice. Pro-freedom. Against the EV “mandate.” They’re not opposed to what’s new and disruptive, ...