Výsledky vyhledávání - "Quantile convolutional neural networks"

Akademický článek

Predictive battery thermal management using quantile convolutional neural networks

Autor: Andreas M. Billert, Stefan Erschen, Michael Frey, Frank Gauterin

Publikováno v: Transportation Engineering, Vol 10, Iss , Pp 100150- (2022)

An improvement in energy efficiency of Battery Thermal Management Systems (BTMS) can increase range and reduce well-to-wheel emissions of Battery Electric Vehicles (BEV). In this work, the potential of a predictive BTMS using Quantile Convolutional N

Externí odkaz: https://doaj.org/article/a3df35aabac3412abe2ed48285f5131d

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Quantile Convolutional Neural Networks for Value at Risk Forecasting

Autor: Petneházi, Gábor

This article presents a new method for forecasting Value at Risk. Convolutional neural networks can do time series forecasting, since they can learn local patterns in time. A simple modification enables them to forecast not the mean, but arbitrary qu

Externí odkaz: http://arxiv.org/abs/1908.07978

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Akademický článek

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

Autor: Andreas M. Billert, Michael Frey, Frank Gauterin

Publikováno v: IEEE Open Journal of Intelligent Transportation Systems, Vol 3, Pp 411-425 (2022)

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 temperature, for example for different battery cooling and heati

Externí odkaz: https://doaj.org/article/c8ea88ec9d534ef982abace7c107a139

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