Optimized sampling strategy for load scenario generation in partially observable distribution grids

Author:

Azam M. Furqan1,Becker Thijs1,Hermans Chris1,Vanthournout Koen1,Deconinck Geert2

Affiliation:

1. AMO, Flemish Institute for Technological Research (VITO),2400 Mol,Belgium

2. ESAT/Electa, KU Leuven,3001 Leuven,Belgium

Funder

Flemish Institute for Technological Research (VITO), Belgium

Publisher

IEEE

Reference18 articles.

1. A review and evaluation of elastic distance functions for time series clustering;holder;ArXiv Preprint,2022

2. Scenario generation of residential electricity consumption through sampling of historical data

3. A constructive definition of Dirichlet priors;sethuraman;Statistica Sinica,1994

4. The expectation-maximization algorithm

5. Dirichlet Sampled Capacity and Loss Estimation for LV Distribution Networks With Partial Observability

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