New autoregressive models revolutionize forecasting for active energy complexes!
This paper tackles the challenge of predicting active energy complexes using autoregressive models. Forecasting energy needs is crucial for planning ahead, but different situations require different approaches. The researchers tested 4 models: Simple Autoregressive, Moving Average, Autoregressive Integrated Moving Average, and Seasonal AutoRegressive Integrated and Moving Average.