Xing Zhao's research works

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Figure 2. Time series of electricity consumption. The vertical dashed line separates the training period from the forecast period. The red line represents the actual training data (solid line) and test data (dashed line), while the blue line shows the fitted values (solid line) and the predictions (dashed line). A 95% confidence interval is drawn shaded in gray within the prediction range. The unit of electricity consumption is MWh.

Figure 3. (a) Combining histograms displaying the distributions of exogenous variables after differencing. (b) Heatmap of covariance matrix of exogeneous variables. Annotations on the bottom show the name of the variables. The anti-diagonal elements are their variance. (c) Plot of transfer function versus time lag. (d) Left panel: summary plot of the contributions of the five exogenous variables. The x-axis is the contribution values. Each dot is a time point, which is colored by the values of variables. The redder the color, the larger the value, the bluer the smaller, and the medium value will be gray. Right panel: bar chart of the average contribution value magnitude.

Figure 4. Individual contribution of temperature (red line) and var1 (blue line) to ARI-MAX predictions. Within this range, we plot the total contribution of all external variables including all times in the past (in orange shade) and the total contribution only at current time (in green shade).

Figure 6. Stacked bar chart for walmart sales dataset.

Figure 7. Stacked bar chart for workplace mobility dataset.

A Methodology for Calculating the Contribution of Exogenous Variables to ARIMAX Predictions

June 2021

523 Reads

5 Citations

[...]

... Aircraft trajectory is not solely determined by its previous positions. There are external factors or exogenous variables [37] that significantly influence the aircraft path. These factors include meteorological conditions, airspace constraints, and specific performance metrics of the aircraft itself. ...
Reference:
Robust Trajectory Prediction Using Random Forest Methodology Application to UAS-S4 Ehécatl

A Methodology for Calculating the Contribution of Exogenous Variables to ARIMAX Predictions

Citing Article
Full-text available
June 2021

[...]

Xing Zhao's scientific contributions

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