I have written and talked about Time Series Forecasting previously, especially on how to create forecasts in Power BI. You can refer to my previous blog posts below:
Time series Forecasting in Python & R, Part 1 (EDA): Link This blog covers exploratory data analysis techniques for time series data before creating the forecast.
Time series Forecasting in Python & R, Part 2 (Forecasting): Link Here I go into theoretical and practical aspects of creating forecasts using many different classical forecasting methods
Time series Forecasting in Power BI: Link This blog shows how to create forecasts in Power BI, its strengths, limitations, and my recommendations.
I recently presented on this topic at Global AI Bootcamp, Singapore. Here is the recording of that presentation. It summarizes my findings from the blog above.