Time Series Forecasting

Time series forecasting aims to predict future values based on historical data, crucial for diverse applications from finance to healthcare. Current research emphasizes improving model accuracy and efficiency, focusing on transformer-based architectures, state-space models like Mamba, and hybrid approaches combining their strengths, as well as exploring data augmentation and explainable AI techniques. These advancements are driving improvements in forecasting accuracy and interpretability, leading to better decision-making across various sectors and contributing to a deeper understanding of complex temporal dynamics.

Papers

September 10, 2024

Learning Augmentation Policies from A Model Zoo for Time Series Forecasting
Haochen Yuan, Xuelin Li, Yunbo Wang, Xiaokang Yang
Reinforcement Learning Data Augmentation Supervised Autoencoder Time Series Forecasting Model Zoo

September 5, 2024

Practical Forecasting of Cryptocoins Timeseries using Correlation Patterns
Pasquale De Rosa, Pascal Felber, Valerio Schiavoni
Time Series Forecasting Trend Correlation

August 30, 2024

VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters
Mouxiang Chen, Lefei Shen, Zhuo Li, Xiaoyun Joy Wang, Jianling Sun, Chenghao Liu
Zero Shot Time Series Forecasting Vision Paper Time Series Data Free Lunch Time Series Forecasting Model

August 28, 2024

August 27, 2024

Adversarial Attacks and Defenses in Multivariate Time-Series Forecasting for Smart and Connected Infrastructures
Pooja Krishan, Rohan Mohapatra, Saptarshi Sengupta
Adversarial Attack Deep Learning Model Adversarial Training Time Series Forecasting Adversarial DEfense White Box Smart Infrastructure

August 26, 2024

Reprogramming Foundational Large Language Models(LLMs) for Enterprise Adoption for Spatio-Temporal Forecasting Applications: Unveiling a New Era in Copilot-Guided Cross-Modal Time Series Representation Learning
Sakhinana Sagar Srinivas, Chidaksh Ravuru, Geethan Sannidhi, Venkataramana Runkana
Time Series Time Series Forecasting New Era Spatio Temporal Forecasting Time Series Representation Learning Cross Modal Representation Learning

August 24, 2024

Advancing Enterprise Spatio-Temporal Forecasting Applications: Data Mining Meets Instruction Tuning of Language Models For Multi-modal Time Series Analysis in Low-Resource Settings
Sagar Srinivas Sakhinana, Geethan Sannidhi, Chidaksh Ravuru, Venkataramana Runkana
Language Model Time Series Time Series Forecasting Instruction Tuning Spatio Temporal Data Mining Spatio Temporal Forecasting

August 21, 2024

KAN4TSF: Are KAN and KAN-based models Effective for Time Series Forecasting?
Xiao Han, Xinfeng Zhang, Yiling Wu, Zhenduo Zhang, Zhe Wu
Time Series Forecasting Kolmogorov Arnold Network KAN Layer Time Series Forecasting Method

August 20, 2024

Wave-Mask/Mix: Exploring Wavelet-Based Augmentations for Time Series Forecasting
Dona Arabi, Jafar Bakhshaliyev, Ayse Coskuner, Kiran Madhusudhanan, Kami Serdar Uckardes
Data Augmentation Time Series Forecasting Multivariate Time Series Based Mix Spatial Mixing

August 19, 2024

sTransformer: A Modular Approach for Extracting Inter-Sequential and Temporal Information for Time-Series Forecasting
Jiaheng Yin, Zhengxin Shi, Jianshen Zhang, Xiaomin Lin, Yulin Huang, Yongzhi Qi, Wei Qi
Transformer Based Model Time Series Forecasting Temporal Information Temporal Convolutional Network Long Term Time Series Forecasting Modular Approach

August 11, 2024

Predicting Chaotic System Behavior using Machine Learning Techniques
Huaiyuan Rao, Yichen Zhao, Qiang Lai
Machine Learning Time Series Forecasting LSTM Network Reservoir Computing Chaotic System

August 9, 2024

An Evaluation of Standard Statistical Models and LLMs on Time Series Forecasting
Rui Cao, Qiao Wang
Large Language Model Zero Shot Time Series Forecasting Time Series Prediction Statistical Model LLM Model

August 7, 2024

August 4, 2024

SPINEX-TimeSeries: Similarity-based Predictions with Explainable Neighbors Exploration for Time Series and Forecasting Problems
Ahmed Z Naser, MZ Naser
Human Prediction Time Series Time Series Forecasting Predictive Model Time Series Data Forecasting Performance Forecasting Analysis Similarity Prediction

August 1, 2024

AutoPV: Automatically Design Your Photovoltaic Power Forecasting Model
Dayin Chen, Xiaodan Shi, Mingkun Jiang, Haoran Zhang, Dongxiao Zhang, Yuntian Chen, Jinyue Yan
Neural Architecture Search Time Series Forecasting Photovoltaic Power Forecasting

July 30, 2024

Analyzing Customer-Facing Vendor Experiences with Time Series Forecasting and Monte Carlo Techniques
Vivek Kaushik, Jason Tang
Time Series Forecasting Monte Carlo eXperience Report Outage Watch

July 29, 2024

Time Series Forecasting

Papers

Learning Augmentation Policies from A Model Zoo for Time Series Forecasting

Practical Forecasting of Cryptocoins Timeseries using Correlation Patterns

VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters

Variational Mode Decomposition and Linear Embeddings are What You Need For Time-Series Forecasting

Mamba or Transformer for Time Series Forecasting? Mixture of Universals (MoU) Is All You Need

Adversarial Attacks and Defenses in Multivariate Time-Series Forecasting for Smart and Connected Infrastructures

Reprogramming Foundational Large Language Models(LLMs) for Enterprise Adoption for Spatio-Temporal Forecasting Applications: Unveiling a New Era in Copilot-Guided Cross-Modal Time Series Representation Learning

Advancing Enterprise Spatio-Temporal Forecasting Applications: Data Mining Meets Instruction Tuning of Language Models For Multi-modal Time Series Analysis in Low-Resource Settings

KAN4TSF: Are KAN and KAN-based models Effective for Time Series Forecasting?

Wave-Mask/Mix: Exploring Wavelet-Based Augmentations for Time Series Forecasting

sTransformer: A Modular Approach for Extracting Inter-Sequential and Temporal Information for Time-Series Forecasting

Predicting Chaotic System Behavior using Machine Learning Techniques

An Evaluation of Standard Statistical Models and LLMs on Time Series Forecasting

Inter-Series Transformer: Attending to Products in Time Series Forecasting

Early Prediction of Causes (not Effects) in Healthcare by Long-Term Clinical Time Series Forecasting

SPINEX-TimeSeries: Similarity-based Predictions with Explainable Neighbors Exploration for Time Series and Forecasting Problems

AutoPV: Automatically Design Your Photovoltaic Power Forecasting Model

Analyzing Customer-Facing Vendor Experiences with Time Series Forecasting and Monte Carlo Techniques

Designing Time-Series Models With Hypernetworks & Adversarial Portfolios

Time series forecasting with high stakes: A field study of the air cargo industry