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Distributed ARIMA Models for Ultra-long Time Series
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Distributed ARIMA Models for Ultra-long Time Series

International Journal of Forecasting (IJF), 2020
19 July 2020
Xiaoqian Wang
Yanfei Kang
Rob J. Hyndman
Feng Li
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Distributed ARIMA Models for Ultra-long Time Series"

6 / 6 papers shown
Enhanced Convolution Neural Network with Optimized Pooling and
  Hyperparameter Tuning for Network Intrusion Detection
Enhanced Convolution Neural Network with Optimized Pooling and Hyperparameter Tuning for Network Intrusion Detection
Ayush Kumar Sharma
Sourav Patel
Supriya Bharat Wakchaure
A. Shah
157
1
0
27 Sep 2024
Using ARIMA to Predict the Expansion of Subscriber Data Consumption
Using ARIMA to Predict the Expansion of Subscriber Data Consumption
Mike Nkongolo
229
19
0
23 Apr 2024
Multi-Resolution, Multi-Horizon Distributed Solar PV Power Forecasting
  with Forecast Combinations
Multi-Resolution, Multi-Horizon Distributed Solar PV Power Forecasting with Forecast CombinationsExpert systems with applications (ESWA), 2022
M. Perera
J. Hoog
Kasun Bandara
Saman K. Halgamuge
146
42
0
22 Jun 2022
Forecast combinations: an over 50-year review
Forecast combinations: an over 50-year reviewInternational Journal of Forecasting (IJF), 2022
Xiaoqian Wang
Rob J. Hyndman
Feng Li
Yanfei Kang
AI4TS
264
235
0
09 May 2022
Federated Deep Learning in Electricity Forecasting: An MCDM Approach
Federated Deep Learning in Electricity Forecasting: An MCDM Approach
M. Repetto
D. Torre
M. Tariq
192
2
0
27 Nov 2021
Forecasting: theory and practice
Forecasting: theory and practiceInternational Journal of Forecasting (IJF), 2020
F. Petropoulos
D. Apiletti
Vassilios Assimakopoulos
M. Z. Babai
Devon K. Barrow
...
J. Arenas
Xiaoqian Wang
R. L. Winkler
Alisa Yusupova
F. Ziel
AI4TS
364
494
0
04 Dec 2020
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