IJRTI
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.14

Issue per Year : 12

Volume Published : 11

Issue Published : 118

Article Submitted : 21664

Article Published : 8541

Total Authors : 22459

Total Reviewer : 811

Total Countries : 159

Indexing Partner

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: Multi-Agent Geospatial Optimization for Renewable Energy Integration
Authors Name: Neethu S , Sai Ankit Panda , Nitish Dwivedi
Download E-Certificate: Download
Author Reg. ID:
IJRTI_204214
Published Paper Id: IJRTI2506015
Published In: Volume 10 Issue 6, June-2025
DOI:
Abstract: The integration of renewable energy sources into power grids presents challenges related to spatial distribution, resource variability, and grid stability. This paper explores a novel approach using Multi-Agent Systems (MAS) for geospatial optimization of renewable energy deployment. By leveraging agent-based modeling, geographic information systems (GIS), and optimization techniques, the proposed system enhances energy efficiency, grid resilience, and sustainability. The framework is evaluated through simulations that assess optimal energy distribution, balancing supply and demand across diverse geographic regions. Future research will explore the integration of real-time data and artificial intelligence for enhanced predictive capabilities.
Keywords: Multi-Agent Systems, Renewable Energy, Geospatial Optimization, Smart Grid, Energy Distribution, GIS
Cite Article: "Multi-Agent Geospatial Optimization for Renewable Energy Integration", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.a109-a111, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506015.pdf
Downloads: 000597
ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2506015
Registration ID:204214
Published In: Volume 10 Issue 6, June-2025
DOI (Digital Object Identifier):
Page No: a109-a111
Country: -, -, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2506015
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2506015
Share Article:

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijrti.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

ISSN Details

ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI.ONE
How to Get DOI?

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Join RMS/Earn 300

IJRTI

WhatsApp
Click Here

Indexing Partner