LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with Multiple Seasonal Patterns

10 September 2019

Papers citing "LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with Multiple Seasonal Patterns"

31 / 31 papers shown

Title
FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Xuan Rao Bo Zhao Derong Liu Cesare Alippi 44 0 0 25 Apr 2025
MMformer with Adaptive Transferable Attention: Advancing Multivariate Time Series Forecasting for Environmental Applications Ning Xin Jionglong Su Md Maruf Hasan AI4TS 31 0 0 18 Apr 2025
Evaluation of Missing Data Imputation for Time Series Without Ground Truth Rania Farjallah Bassant Selim Brigitte Jaumard Samr Ali Georges Kaddoum AI4TS 34 0 0 26 Feb 2025
Lag Selection for Univariate Time Series Forecasting using Deep Learning: An Empirical Study José Leites Vítor Cerqueira Carlos Soares AI4TS 40 2 0 18 May 2024
DAM: A Universal Dual Attention Mechanism for Multimodal Timeseries Cryptocurrency Trend Forecasting Yihang Fu Mingyu Zhou Luyao Zhang AI4TS 23 6 0 01 May 2024
Time Series Data Augmentation as an Imbalanced Learning Problem Vítor Cerqueira Nuno Moniz Ricardo Inácio Carlos Soares AI4TS 32 1 0 29 Apr 2024
SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal Forecasting Xiaobei Zou Luolin Xiong Yang Tang Jürgen Kurths AI4TS 33 1 0 05 Dec 2023
Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal Forecasting G. Liang Prayag Tiwari Sławomir Nowaczyk Stefan Byttner F. Alonso-Fernandez DiffM 39 12 0 16 May 2023
Time Series Forecasting via Semi-Asymmetric Convolutional Architecture with Global Atrous Sliding Window Yuanpeng He AI4TS 41 0 0 31 Jan 2023
Towards Better Long-range Time Series Forecasting using Generative Forecasting Shiyu Liu Rohan Ghosh Mehul Motani AI4TS 99 2 0 09 Dec 2022
Distributional Drift Adaptation with Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting Hui He Qi Zhang Kun Yi Kaize Shi ZhenDong Niu Longbin Cao TTA AI4TS 19 4 0 01 Sep 2022
Evaluating Short-Term Forecasting of Multiple Time Series in IoT Environments Christos Tzagkarakis Pavlos Charalampidis Stylianos Roubakis Alexandros G. Fragkiadakis S. Ioannidis AI4TS 11 1 0 15 Jun 2022
Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer Wen-Rang Zhang Ling Yang Shijia Geng Shenda Hong ViT AI4TS 37 41 0 20 May 2022
Recurrent Neural Networks for Forecasting Time Series with Multiple Seasonality: A Comparative Study Grzegorz Dudek Slawek Smyl Paweł Pełka AI4TS 21 1 0 17 Mar 2022
HERMES: Hybrid Error-corrector Model with inclusion of External Signals for nonstationary fashion time series Etienne David Jean Bellot Sylvain Le Corff 23 1 0 07 Feb 2022
LoMEF: A Framework to Produce Local Explanations for Global Model Time Series Forecasts Dilini Sewwandi Rajapaksha Christoph Bergmeir Rob J. Hyndman FAtt AI4TS 11 13 0 13 Nov 2021
MSTL: A Seasonal-Trend Decomposition Algorithm for Time Series with Multiple Seasonal Patterns Kasun Bandara Rob J. Hyndman Christoph Bergmeir AI4TS 19 69 0 28 Jul 2021
Randomized Neural Networks for Forecasting Time Series with Multiple Seasonality Grzegorz Dudek BDL AI4TS 13 4 0 04 Jul 2021
Monash Time Series Forecasting Archive Rakshitha Godahewa Christoph Bergmeir Geoffrey I. Webb Rob J. Hyndman Pablo Montero-Manso AI4TS 16 144 0 14 May 2021
Variance Reduced Training with Stratified Sampling for Forecasting Models Yucheng Lu Youngsuk Park Lifan Chen Bernie Wang Christopher De Sa Dean Phillips Foster AI4TS 38 17 0 02 Mar 2021
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting Nam H. Nguyen Brian Quanz BDL AI4TS 133 66 0 25 Jan 2021
Ensembles of Localised Models for Time Series Forecasting Rakshitha Godahewa Kasun Bandara Geoffrey I. Webb Slawek Smyl Christoph Bergmeir AI4TS 27 43 0 30 Dec 2020
Global Models for Time Series Forecasting: A Simulation Study Hansika Hewamalage Christoph Bergmeir Kasun Bandara AI4TS 36 57 0 23 Dec 2020
Forecasting: theory and practice F. Petropoulos D. Apiletti Vassilios Assimakopoulos M. Z. Babai Devon K. Barrow ... J. Arenas Xiaoqian Wang R. L. Winkler Alisa Yusupova F. Ziel AI4TS 36 363 0 04 Dec 2020
An Accurate and Fully-Automated Ensemble Model for Weekly Time Series Forecasting Rakshitha Godahewa Christoph Bergmeir Geoffrey I. Webb Pablo Montero-Manso AI4TS 18 10 0 16 Oct 2020
Graph Deep Factors for Forecasting Hongjie Chen Ryan A. Rossi K. Mahadik Sungchul Kim Hoda Eldardiry BDL AI4TS 26 0 0 14 Oct 2020
Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation Kasun Bandara Hansika Hewamalage Yuan-Hao Liu Yanfei Kang Christoph Bergmeir AI4TS 18 114 0 06 Aug 2020
Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality Pablo Montero-Manso Rob J. Hyndman AI4TS 16 133 0 02 Aug 2020
Towards Accurate Predictions and Causal 'What-if' Analyses for Planning and Policy-making: A Case Study in Emergency Medical Services Demand Kasun Bandara Christoph Bergmeir Sam Campbell Deborah Scott D. Lubman 16 11 0 25 Apr 2020
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey Konstantinos Benidis Syama Sundar Rangapuram Valentin Flunkert Bernie Wang Danielle C. Maddix ... David Salinas Lorenzo Stella François-Xavier Aubet Laurent Callot Tim Januschowski AI4TS 25 176 0 21 Apr 2020
A Spatio-Temporal Spot-Forecasting Framework for Urban Traffic Prediction Rodrigo de Medrano J. Aznarte AI4TS 19 23 0 31 Mar 2020