2023
DOI: 10.1007/s00500-023-08558-2
|View full text |Cite
|
Sign up to set email alerts
|

An optimal deep belief with buffalo optimization algorithm for fault detection and power loss in grid-connected system

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 41 publications
0
1
0
Order By: Relevance
“…However, the major disadvantage of frequency regulation techniques that utilise ESSs is their high purchasing and maintenance costs. A mathematical model of ternary hydro nanofluid for improving the transfer of heat has been provided in [25], a buffalo optimisation-based algorithm was coined in [26] for fault detection and regulation in grid connected PV systems. [27] Has reviewed the several thermal ESSs for improving the thermal performance of buildings, these systems aim at effective cooling in the modern buildings.…”
Section: Introductionmentioning
confidence: 99%
“…However, the major disadvantage of frequency regulation techniques that utilise ESSs is their high purchasing and maintenance costs. A mathematical model of ternary hydro nanofluid for improving the transfer of heat has been provided in [25], a buffalo optimisation-based algorithm was coined in [26] for fault detection and regulation in grid connected PV systems. [27] Has reviewed the several thermal ESSs for improving the thermal performance of buildings, these systems aim at effective cooling in the modern buildings.…”
Section: Introductionmentioning
confidence: 99%