Table 8.

A performance comparison of our proposed method compared to existing methods.

Ref.	Dataset	Method	Forecast Length	Outlier Detection and Mitigation	Mean Accuracy
[18]	temporal and spatial	convolutional neural network	single-step	no	91.05%
[31]	temporal and spatial	reinforcement learning	multi-step	no	93.12% (15 min), 91.68% (30 min), 90.03% (60 min)
[32]	temporal	statistical technique	single-step and multi-step	no	90% (1 min), 70% (5 min), 53% (10 min)
Proposed	temporal	boosting algorithms	single-step and multi-step	yes	4.92% (5 min), 94.70% (30 min), 93.78% (45 min), 92.89% (60 min)