Time Series Analysis & Forecasting

Share Your Expertise

Time series analysis and forecasting drive critical decisions across industries, from finance to operations. Ready Tensor provides a platform for practitioners to showcase their innovations, from statistical approaches to deep learning solutions. Share your work to inspire others and gain recognition for your contributions to this essential field.

Areas of Interest

Core Approaches:

• Statistical forecasting methods

• Deep learning for time series

• State space models

• Sequence modeling

• Time series classification

• Time series segmentation

• Temporal pattern recognition

• Multivariate analysis

Advanced Techniques:

• Neural forecasting architectures

• Probabilistic forecasting

• Anomaly detection systems

• Temporal attention mechanisms

• Hierarchical forecasting

• Transfer learning for time series

Application Domains:

• Financial forecasting

• Demand prediction

• Energy consumption modeling

• Weather forecasting

• IoT sensor analysis

• Supply chain optimization

We welcome all innovative approaches in time series analysis, from theoretical advances to practical implementations solving real-world challenges.

Featured Publications Program

Each month, we select outstanding time series publications to feature on our platform. Featured publications receive:

• Prominent visibility on Ready Tensor's homepage and time series category

• Social media promotion to our community of AI professionals

• Digital certificate of recognition

• Cash prize of $200 for exceptional publications

Publications are evaluated based on technical innovation, implementation quality, and practical impact.

All public time series publications are automatically considered for this recognition program.

Note: Ready Tensor employees and contractors may contribute publications but are not eligible for cash prizes.

Types of Publications

From traditional statistical approaches to modern deep learning solutions, we welcome all types of time series modeling publications. Whether you're working on forecasting, classification, anomaly detection, or segmentation, share your work to help advance the field of temporal analytics.

Research Contributions:

• Original research in temporal modeling methods

• Surveys of time series analysis techniques

• Comparative studies across different tasks

• Novel temporal datasets and benchmarks

• Reproducibility studies of published methods

Implementation & Applications:

• Industry applications of time series analysis

• End-to-end temporal modeling pipelines

• Scalable time series systems

• M4/M5/M6 forecasting competition solutions

• Kaggle competition submission write-ups

Open Source & Independent Projects:

• Open-source time series libraries

• Tools for temporal data processing

• Anomaly detection implementations

• Classification model experiments

• Custom segmentation algorithms

Educational & Academic:

• Academic research implementations

• Time series analysis tutorials

• Course projects across different tasks

• Practical modeling guides

• Pattern recognition workshops

How to Publish

1. Create a free Ready Tensor account if you don't already have one.

2. To create a new publication, click on 'Create New' and then 'New Publication' from the left menu.

3. Follow the intuitive workflow. You can copy/paste content in markdown style, and even upload content from your Jupyter Notebooks. It's fast and easy.

4. Tag your publication with relevant keywords like 'time-series', 'forecasting', or 'anomaly-detection' to help others discover your work.

5. Preview your work and click 'Publish' to share it with the community.