IEEE

A Method of Developing Quantile Convolutional Neural Networks for Electric Vehicle Battery Temperature Prediction Trained on Cross-Domain Data

Abstract: The energy consumption caused by battery thermal management of electric vehicles can be reduced using predictive control. A predictive controller needs a prediction model of the battery ...
GitHub

panel-extensions/panel-graphic-walker

This project is in its early stages, so if you find a version that suits your needs, it’s recommended to pin your version, as updates may introduce changes.
IEEE

Ensemble Deep Learning-Based Non-Crossing Quantile Regression for Nonparametric Probabilistic Forecasting of Wind Power Generation

Abstract: Probabilistic forecasting that quantifies the prediction uncertainties is crucial for decision-making in power systems. As a prevalent nonparametric probabilistic forecasting approach, ...
Marketing Dive

Nielsen’s data-backed panel currency is ‘unstable, unpredictable’: VAB

In a report out today, the Video Advertising Bureau alleges significant discrepancies in Nielsen’s data-backed audience measurement methodology that serves as a basis for buying and selling TV ads.