Build a Quick Time Series Forecasting App

Time series forecasting predicts future trends using historical patterns. This tutorial builds a London weather forecasting system with InfluxDB 3 Enterprise, Prophet, and the Open-Meteo API. It collects six months of historical data, stores it in InfluxDB, and uses Prophet to predict temperatures for the next month. The article compares machine learning and traditional statistical methods, introduces time series large language models, and stresses the importance of selecting appropriate forecasting techniques based on data and application needs.