Machine Learning Based Power Utilization Prediction

This book summarizes the electricity load forecasting has gained substantial importance nowadays in the modern electrical power management systems with elements of smart greed technology. Power big data has the characteristics of a large number high dimension and time series. At the same time there are many forms of missing electric power data some are missing dispersedly and some are missing in succession. Therefore combinations of prediction methods are receiving increasing attention. We performed exploratory data analysis pre-processing and train- test split before training the model. We used various metrics to test the advantages of the proposed model: mean absolute error mean squared error and root mean squared error.