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AR-Net: A simple Auto-Regressive Neural Network for time-series

AR-Net: A simple Auto-Regressive Neural Network for time-series

27 November 2019
Oskar Triebe
N. Laptev
Ram Rajagopal
    AI4TSAI4CE
ArXiv (abs)PDFHTML

Papers citing "AR-Net: A simple Auto-Regressive Neural Network for time-series"

12 / 12 papers shown
Title
ModelRadar: Aspect-based Forecast Evaluation
ModelRadar: Aspect-based Forecast Evaluation
Vítor Cerqueira
Luis Roque
Carlos Soares
176
0
0
31 Mar 2025
Leveraging Hypernetworks and Learnable Kernels for Consumer Energy Forecasting Across Diverse Consumer Types
Leveraging Hypernetworks and Learnable Kernels for Consumer Energy Forecasting Across Diverse Consumer Types
Muhammad Umair Danish
Katarina Grolinger
AI4TS
152
4
0
07 Feb 2025
An Investigation into Seasonal Variations in Energy Forecasting for Student Residences
An Investigation into Seasonal Variations in Energy Forecasting for Student Residences
Muhammad Umair Danish
Mathumitha Sureshkumar
Thanuri Fonseka
Umeshika Uthayakumar
Vinura Galwaduge
60
0
0
13 Jan 2025
Neural Network Modeling for Forecasting Tourism Demand in Stopića
  Cave: A Serbian Cave Tourism Study
Neural Network Modeling for Forecasting Tourism Demand in Stopića Cave: A Serbian Cave Tourism Study
Buda Bajić
Srdjan Milićević
Aleksandar Antić
Slobodan Marković
Nemanja Tomić
29
1
0
07 Apr 2024
A Novel Hyperdimensional Computing Framework for Online Time Series
  Forecasting on the Edge
A Novel Hyperdimensional Computing Framework for Online Time Series Forecasting on the Edge
Mohamed Mejri
C. Amarnath
Abhijit Chatterjee
AI4TS
37
5
0
03 Feb 2024
Learning-enabled multi-modal motion prediction in urban environments
Learning-enabled multi-modal motion prediction in urban environments
Vinicius Trentin
Chenxiang Ma
J. Villagra
Zaid Al-Ars
47
2
0
23 Apr 2023
An evaluation of time series forecasting models on water consumption
  data: A case study of Greece
An evaluation of time series forecasting models on water consumption data: A case study of Greece
Ioannis Kontopoulos
Antonios Makris
Konstantinos Tserpes
T. Varvarigou
AI4TS
40
0
0
30 Mar 2023
Long-Term Missing Value Imputation for Time Series Data Using Deep
  Neural Networks
Long-Term Missing Value Imputation for Time Series Data Using Deep Neural Networks
Jangho Park
Juliane Müller
B. Arora
B. Faybishenko
G. Pastorello
C. Varadharajan
R. Sahu
Deb Agarwal
AI4TS
28
37
0
25 Feb 2022
NeuralProphet: Explainable Forecasting at Scale
NeuralProphet: Explainable Forecasting at Scale
Oskar Triebe
Hansika Hewamalage
Polina Pilyugina
N. Laptev
Christoph Bergmeir
Ram Rajagopal
AI4TS
59
98
0
29 Nov 2021
Training Massive Deep Neural Networks in a Smart Contract: A New Hope
Training Massive Deep Neural Networks in a Smart Contract: A New Hope
Yin Yang
30
2
0
28 Jun 2021
Boosted Embeddings for Time Series Forecasting
Boosted Embeddings for Time Series Forecasting
Sankeerth Rao Karingula
Nandini Ramanan
Rasool Tahsambi
Mehrnaz Amjadi
Deokwoo Jung
Ricky Si
Charanraj Thimmisetty
Luisa Polania Cabrera
Marjorie Sayer
C. Coelho
AI4TS
61
15
0
10 Apr 2021
Energy Forecasting in Smart Grid Systems: A Review of the
  State-of-the-art Techniques
Energy Forecasting in Smart Grid Systems: A Review of the State-of-the-art Techniques
D. Kaur
S. Islam
Md. Apel Mahmud
Md Enamul Haque
ZhaoYang Dong
AI4TS
53
34
0
25 Nov 2020
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