These key concepts cover the foundations of time series data, how forecasts are generated, and the role of TimeGPT in predicting future values and detecting anomalies.

Use these concepts as a reference to better understand how TimeGPT simplifies tasks such as demand forecasting, anomaly detection, and multi-series forecasting.

Time Series

A sequence of numerical data points arranged in chronological order.

Forecasting

Predicting future values by analyzing historical data and patterns.

Anomaly Detection

Identifying unusual or unexpected events that deviate from typical behavior.

Multiple Series

Managing and forecasting multiple time series data at once.

TimeGPT

Nixtla’s generative pre-trained model for time series forecasting.

Inputs (Tokens)

Segments of historical data that inform TimeGPT’s forecasting process.

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Get Started with TimeGPT

Now that you understand the key concepts, you’re ready to start using TimeGPT for your forecasting needs.

Introduction

Learn more about TimeGPT and how it can transform your time series analysis.

Quickstart

Get up and running with TimeGPT in minutes with our step-by-step guide.