This repository contains a Jupyter notebook that demonstrates time series analysis and forecasting using ARIMA, auto-ARIMA, and Prophet. Time series analysis is a powerful tool for understanding and ...

The gearbox is one of the most important equipment of the wind turbine generators, so unscheduled shutdown and unexpected breakdown of the gearboxes are considered as key factors affecting the safe ...

Learn how ARIMA models use time series data for accurate short-term forecasting. Discover its pros, cons, and essential tips ...

For robots to be predictable and adaptive, they need a priority-based architecture and a new legal model, argues a researcher.

Discover how Microsoft's Excel Copilot simplifies data analysis with natural language queries and boosts productivity. Excel’s AI Copilot ...

It's so much easier to create, summarize, and analyze data now - no complex manual formulas required.

This paper presents a hybrid ARIMA-LSTM approach to predict stock prices in the Indonesian market and compares its performance to the standalone ARIMA model. The study focuses on six companies ...

Learn how to create a risk assessment matrix in Excel with this step-by-step guide. Automate, visualize, and simplify risk management with a ...