Author: Anonymous User 2

X = [x_t^{(1)}, x_t^{(2)}, x_t^{(3)}] \quad t = 1, 2, \cdots, T Y = [y_t^{(1)}, y_t^{(2)}, y_t^{(3)}, y_t^{(4)}, y_t^{(5)}] \quad t = 1, 2, \cdots, T \min \{ x_t^{(1)} \} \geq (1 - \sigma) \min \{ \theta^{\text{WT, pro}}(y_t^{(1)}) \}, \theta^{\text{line, rate}}(y_t^{(3)}) \max \{ x_t^{(1)} \} \leq (1 + \sigma) \max \{ \Delta P^{\text{L, pred}}(y_t^{(2)}) \}, \theta^{\text{line, rate}}(y_t^{(3)}), \theta^{\text{transfer, rate}}(y_t^{(4)}) \min \{ x_t^{(2)} \} \geq (1 - \sigma) \min \{ v^{\text{WT, cut-out}}(y_t^{(1)}) \}, v^{\text{line, rate}}(y_t^{(3)}) \max \{ x_t^{(2)} \} \leq (1 + \sigma) \max \{ v^{\text{WT, cut-in}}(y_t^{(1)})