Figure 6
From: Frugal day-ahead forecasting of multiple local electricity loads by aggregating adaptive models

Grid search of the number of experts: (a) \(n_1\) for AGG GAM TL, (b) \(n_2\) for AGG GAM-Kalman TL, and (c) \(n_3\) for AGG Kalman TL.
From: Frugal day-ahead forecasting of multiple local electricity loads by aggregating adaptive models

Grid search of the number of experts: (a) \(n_1\) for AGG GAM TL, (b) \(n_2\) for AGG GAM-Kalman TL, and (c) \(n_3\) for AGG Kalman TL.