Table 5 Results of factorial experiments with ten factorial groups on EV charging demand. Utilizing the occupancy ratio in each traffic zone as the target data, our analysis indicates that individual features make a minimal contribution to prediction accuracy, and may even hinder performance in certain scenarios. In contrast, the combination of features, notably air temperature (Ta) and electricity price (pe), can lead to significant enhancements.
From: UrbanEV: An Open Benchmark Dataset for Urban Electric Vehicle Charging Demand Prediction
Model | RMSE(×10−2) | MAPE(%) | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
FCNN | LSTM | ASTGCN | TimeXer | Average | FCNN | LSTM | ASTGCN | TimeXer | Average | |
None | 9.47 | 9.37 | 9.15 | 7.95 | 8.99 | 40.59 | 36.17 | 35.67 | 24.81 | 34.31 |
P | 9.59 | 9.25 | 8.96 | 8.41 | 9.05 | 39.24 | 35.77 | 32.57 | 26.19 | 33.44 |
Ta | 9.48 | 9.28 | 8.87 | 8.47 | 9.02 | 36.32 | 34.88 | 32.41 | 27.06 | 32.67 |
h | 9.44 | 9.23 | 8.98 | 8.48 | 9.03 | 38.70 | 34.62 | 32.41 | 26.97 | 33.18 |
pe | 9.80 | 9.19 | 8.91 | 8.50 | 9.10 | 39.19 | 35.68 | 33.08 | 27.77 | 33.93 |
ps | 9.86 | 9.21 | 8.97 | 8.69 | 9.18 | 39.80 | 35.75 | 32.20 | 28.39 | 34.04 |
P + ps | 9.23 | 9.03 | 9.03 | 8.47 | 8.94 | 37.25 | 34.08 | 32.86 | 26.45 | 32.66 |
Ta + pe | 9.12 | 9.03 | 8.88 | 8.51 | 8.88 | 36.07 | 34.16 | 33.29 | 26.46 | 32.50 |
h + Ta | 9.20 | 9.09 | 9.04 | 8.59 | 8.98 | 36.58 | 33.42 | 34.78 | 26.57 | 32.84 |
ps + pe | 9.24 | 9.02 | 8.93 | 8.49 | 8.92 | 38.05 | 35.26 | 33.22 | 26.60 | 33.28 |
all | 9.12 | 9.11 | 9.22 | 8.63 | 9.02 | 36.87 | 36.21 | 39.09 | 27.44 | 34.91 |
Model | RAE(×10−2) | MAE(×10−2) | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
FCNN | LSTM | ASTGCN | TimeXer | Average | FCNN | LSTM | ASTGCN | TimeXer | Average | |
None | 45.62 | 43.51 | 42.70 | 32.53 | 41.09 | 6.11 | 5.82 | 5.71 | 4.37 | 5.50 |
P | 46.08 | 42.76 | 40.81 | 35.51 | 41.29 | 6.17 | 5.72 | 5.46 | 4.78 | 5.53 |
Ta | 45.06 | 43.16 | 40.22 | 35.65 | 41.02 | 6.04 | 5.77 | 5.38 | 4.80 | 5.50 |
h | 45.07 | 42.37 | 40.64 | 35.58 | 40.92 | 6.03 | 5.67 | 5.43 | 4.81 | 5.49 |
pe | 47.41 | 42.83 | 40.75 | 35.31 | 41.57 | 6.34 | 5.73 | 5.45 | 4.78 | 5.58 |
ps | 47.58 | 42.96 | 40.59 | 36.15 | 41.82 | 6.37 | 5.74 | 5.43 | 4.90 | 5.61 |
P + ps | 43.84 | 41.64 | 41.43 | 36.01 | 40.73 | 5.87 | 5.57 | 5.54 | 4.85 | 5.46 |
Ta + pe | 43.01 | 41.80 | 41.04 | 35.96 | 40.45 | 5.75 | 5.59 | 5.49 | 4.84 | 5.42 |
h + Ta | 43.52 | 41.65 | 41.62 | 36.04 | 40.71 | 5.82 | 5.58 | 5.57 | 4.87 | 5.46 |
ps + pe | 44.18 | 41.92 | 41.03 | 34.86 | 40.50 | 5.91 | 5.61 | 5.49 | 4.72 | 5.43 |
all | 43.37 | 43.18 | 46.13 | 35.92 | 42.15 | 5.80 | 5.78 | 6.17 | 4.86 | 5.65 |
