Forecasting is required in many situations. Deciding whether to build another power generation plant in the next five years requires forecasts of future demand. Scheduling staff in a call centre next week requires forecasts of call volumes. Stocking an inventory requires forecasts of stock requirements. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly. Examples use R with many data sets taken from the authors' own consulting experience. In this third edition, all chapters have been updated to cover the latest research and forecasting methods. One new chapter has been added on time series features. The latest version of the book is freely available online at http: //OTexts.com/fpp3.

About - Master Thesis Project - Autumn Semester 2023-24

In-flight turbulence poses a significant challenge to aviation safety and passenger comfort. Accurate quantification of turbulence data is crucial for predicting turbulence events and ensuring a smooth flight experience. This project aims to employ advanced time series analysis methods to quantify in-flight turbulence data, enhancing our understanding of turbulence patterns and improving aviation safety protocols. The problem statement revolves around the need for precise turbulence quantification methods to enhance aviation safety. The primary research question is: How can time series analysis methods effectively quantify in-flight turbulence data, leading to accurate predictions and improved safety measures?