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Typical per-unit base load curves, chosen from the base load template pool, are shown in Fig. 7a, b.

This fusion framework also allows for creating a dynamic template pool of target features which gets updated over time.

Typical per-unit CSL profiles, chosen from the per-unit CSL template pool, under various maximum temperatures during summer are shown in Fig. 8.

The interaction between the first two trackers is used to update the template pool of the target attribute while the last tracker is used to estimate the location of the target in case of full occlusion.

With increasing complexity of the template pool, this stipulation becomes less likely.

For each peptide, three MHC complex models were constructed from the template pool using different initial seeds for Modeller.

The template pools can be generated via the dataset NRL.

The generated template pools can be used to obtain the per-unit load profiles for the base load and CSL components of the residential loads in RL.

Generate two template pools for the per-unit base load profile and the per-unit CSL profile via the dataset NRL.

The generation of template pools for the per-unit base load profile and the per-unit CSL profile requires large amounts of base loads and CSL loads.

1) Generate two template pools for the per-unit base load profile and the per-unit CSL profile via the dataset NRL.   2) Identify per-unit load profiles for the components of base load (green area in Fig. 2a) and CSL (red area in Fig. 2a) by using the two template pools.