A Statistical-Based Approach to Load Model Parameter Identification › Research Explorer

A Statistical-Based Approach to Load Model Parameter Identification

Research output: Contribution to journal › Article › peer-review

DOI

https://doi.org/10.1109/ACCESS.2021.3076690
Final published version

Aminjon Gulakhmadov
Alexander Tavlintsev
Aleksey Pankratov
Anton Suvorov
Anastasia Kovaleva
Ilya Lipnitskiy
Murodbek Safaraliev
Sergey Semenenko
Pavel Gubin
Stepan Dmitriev
Khusrav Rasulzoda

Original language	English
Article number	9419005
Pages (from-to)	66915-66928
Number of pages	14
Journal	IEEE Access
Volume	9
DOIs	https://doi.org/10.1109/ACCESS.2021.3076690
Publication status	Published - 2021

ASJC Scopus subject areas

Computer Science(all)
Materials Science(all)
Engineering(all)

Research areas

Load modeling, power system, power system study, static load model, ZIP model

WoS ResearchAreas Categories

Computer Science, Information Systems
Engineering, Electrical & Electronic
Telecommunications

ID: 21863298