The article discusses a method to predict short-term electricity prices more accurately by using a dynamic economics model. The researchers built models based on electricity price and quantity data, processed the data, tested for stability and cointegration, and created an error correction model. By evaluating the model's parameters, they were able to forecast short-term electricity prices in the Australia NSW electricity market more accurately.