2014 Smart Grid Conference (SGC) 2014
DOI: 10.1109/sgc.2014.7090863
|View full text |Cite
|
Sign up to set email alerts
|

Demand response-based voltage security improvement using artificial neural networks and sensitivity analysis

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2015
2015
2023
2023

Publication Types

Select...
3
2

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(1 citation statement)
references
References 15 publications
0
1
0
Order By: Relevance
“…Voltage stability [81] DR is used to analyze the voltage security for emergency situations. To perform the assessment, artificial neural networks offer a quick analysis of sensitivity and voltage.…”
Section: Photovoltaic Energy Quality [80]mentioning
confidence: 99%
“…Voltage stability [81] DR is used to analyze the voltage security for emergency situations. To perform the assessment, artificial neural networks offer a quick analysis of sensitivity and voltage.…”
Section: Photovoltaic Energy Quality [80]mentioning
confidence: 99%