Research on the influencing factors of living energy consumption and carbon emissions based on spatiotemporal model

To explore the influencing factors of living energy consumption, this paper studies the carbon emissions of living energy consumption, and combines the spatiotemporal model to analyze the influencing factors of living energy consumption and carbon emissions. Moreover, this paper proposes a new carbon emission anomaly trajectory detection algorithm STOD for detecting spatiotemporal anomalies. The algorithm segments the complete carbon emission spatiotemporal trajectory and merges the carbon emission trajectory segments that meet the conditions according to the definition. In addition, this paper obtains the abnormal trajectory segment and abnormal trajectory of carbon emissions by calculating three different metrics. The proposed model obtains the outcome of 91.45 during the evaluation of living energy consumption carbon emission analysis based on the spatiotemporal model. The experimental study shows that the carbon emission analysis based on the spatiotemporal model proposed in this paper has a better effect.