Cited by 10Smart Grid Energy ManagementMicrogrid Control and OptimizationPower Systems and Renewable Energy

Coordination of modular nano grid energy management using multi-agent AI architecture

Renjith, P.N., Alfurhood, Badria Sulaiman, Prashanth, K.V., Patil, Varsha Santosh, Sharma, Neetu, Chaturvedi, Abhay·2024·Computers and Electrical Engineering

Integrity signals

Registry

Crossref · 10.1016/j.compeleceng.2024.109112

Cites

25 of 25 references verified0 citation errors · 0 not checkable

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Authors
Renjith, P. N., Alfurhood, B. S., Prashanth, K. V., Patil, V. S., Sharma, N., & Chaturvedi, A.
Affiliations
  • Vellore Institute of Technology University (IN)
  • Princess Nourah bint Abdulrahman University (SA)
  • Koneru Lakshmaiah Education Foundation (IN)
  • Galgotias University (IN)
  • GLA University (IN)
Corresponding author
Renjith, P.N.
Venue
Computers and Electrical Engineering
Publisher
Elsevier BV
Published
2024-04
Volume
115
Pages
109112
ISSN
0045-7906 (ISSN-L)
OpenAlex
W4391798279
Cited by
10
References
25
Citations by year
2026: 3 · 2025: 6 · 2024: 1
FWCI
1.04
Type
journal article
Language
en
Open access
closed
Locations
Computers & Electrical Engineering (publishedVersion)
Funders
Princess Nourah Bint Abdulrahman University (PNURSP2023R359, PNURSP2024R359)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
  • Physical Sciences › Engineering › Control and Systems Engineering › Microgrid Control and Optimization
  • Physical Sciences › Energy › Energy Engineering and Power Technology › Power Systems and Renewable Energy
Keywords
nanogrid, energy management, multi-agent systems, renewable energy integration, photovoltaic generation, wind power generation, power flow monitoring, energy sharing, self-similar networks, diode bridge rectifier

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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