k-Shape clustering algorithm for building energy usage patterns analysis and forecasting model accuracy improvement

This proposed clustering method based on k-shape algorithm is a relatively novel method to identify shape patterns in time-series data and can detect building energy usage patterns in different time granularity effectively and proves that the forecasting accuracy of SVR model is significantly improved by utilizing the results of the proposed clustered method.