Investigation into Predictive Analytics for Optimal Economic Returns

Predictive analytics is used in variety of industries such as banking, healthcare and insurance sector. However, most of the predictive models are built using solely historical data. This makes much predictive model failed to work well in fields where the factors affecting future events are qualitative (e.g. news). In this project, a predictive model based on artificial neural network which take quantitative and qualitative data as input is proposed to increase the prediction accuracy. The predictive model will be trained and tested on two datasets which is short term power load dataset and stock price dataset.