IEEE

Conducted Emission Behavior Model for System-in-Package Based on Multivariate Fitting

Abstract: This article proposes and validates a novel approach to establish a behavior model for characterizing conducted emissions from system-in-package (SiP) chip. The method is based on data from ...
IEEE

Multivariate Power Load Forecasting Model Considering Meteorological Feature-Load Dynamic Forward Lag and Turning Points

Abstract: Due to building thermal inertia and delayed user behavioral responses, power load often lags behind meteorological changes, particularly drops in temperature and humidity. Existing models ...
archive

Machine Learning with Pytorch and Scikit-Learn: Develop Machine Learning and Deep Learning Models with Python

Keep the news in the Wayback Machine. Sign Fight for the Future's letter. An icon used to represent a menu that can be toggled by interacting with this icon. A line drawing of the Internet Archive ...
GitHub

Priestley-Taylor Jet Propulsion Laboratory (PT-JPL) Evapotranspiration Model Python Implementation

This software package is a Python implementation of the Priestley-Taylor Jet Propulsion Laboratory (PT-JPL) model of evapotranspiration. It was re-implemented in Python by Gregory Halverson at Jet ...
GitHub

CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting

In this repository, we present the code of "CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting". conda create -n cmamba ...