Generation of synthetic multi‐resolution time series load data

Generation of synthetic multi‐resolution time series load data

Abstract The availability of large datasets is crucial for the development of new power system applications and tools; unfortunately, very few are publicly and freely available. The authors designed an end‐to‐end generative framework for the creation of synthetic bus‐level time‐series load data for...

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Bibliographic Details
Main Authors: Andrea Pinceti, Lalitha Sankar, Oliver Kosut
Format: Article
Language:English
Published: Wiley 2023-10-01
Series:IET Smart Grid
Subjects:
artificial intelligence and data analytics
big data
data analysis
learning (artificial intelligence)
load flow
multilayer perceptrons
Online Access:https://doi.org/10.1049/stg2.12116

Internet

https://doi.org/10.1049/stg2.12116

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