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Forecasting Across Time Series Databases using Recurrent Neural Networks
on Groups of Similar Series: A Clustering Approach

v1v2 (latest)

Forecasting Across Time Series Databases using Recurrent Neural Networks on Groups of Similar Series: A Clustering Approach

9 October 2017

Christoph Bergmeir

ArXiv (abs)PDF HTML

Papers citing "Forecasting Across Time Series Databases using Recurrent Neural Networks on Groups of Similar Series: A Clustering Approach"

5 / 5 papers shown

Improving Internet Traffic Matrix Prediction via Time Series Clustering

Improving Internet Traffic Matrix Prediction via Time Series Clustering

Alexander Wyglinski

99

0

0

18 Sep 2025

Deep diffusion-based forecasting of COVID-19 by incorporating
network-level mobility information

Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility informationInternational Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2021

Subhodip Biswas

Naren Ramakrishnan

141

9

0

09 Nov 2021

Deep Learning for Time Series Forecasting: Tutorial and Literature
Survey

Deep Learning for Time Series Forecasting: Tutorial and Literature Survey

Konstantinos Benidis

Syama Sundar Rangapuram

Valentin Flunkert

Danielle C. Maddix

...

François-Xavier Aubet

Tim Januschowski

440

291

0

21 Apr 2020

catch22: CAnonical Time-series CHaracteristics

catch22: CAnonical Time-series CHaracteristics

303

330

0

29 Jan 2019

DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks

DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks

Valentin Flunkert

460

2,580

0

13 Apr 2017