Authors: Zhibin Niu, Junqi Wu, Xiufeng Liu, Lizhen Huang , Per Sieverts Nielsen.
Publication date: 2021

This paper proposes a novel spatio-temporal visual analysis approach for urban energy consumption pattern discovery in order to identify energy-saving potentials, plan energy supply and improve energy efficiency. In this approach, energy consumption time series are embeded into a two-dimensional scatterplot for coordinated visual exploration. Users can interactively explore and discover different patterns for decision-making purposes. In addition, this study proposes the method for modeling energy demand shift patterns based on a potential flow method and integrates it into a pattern exploration tool.