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March-2025
eISSN: 2349-5162
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Journal of Emerging Technologies and Innovative Research ( An International Scholarly Open Access Journal, Peer-reviewed, Refereed, Crossref DOI Journal )
Impact factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal
UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules
ISSN: 2349-5162 | ESTD Year : 2014 Volume 12 | Issue 10 | October 2025
New UGC Peer-Reviewed Rules
ISSN: 2349-5162 | ESTD Year : 2014 Volume 12 | Issue 10 | October 2025
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UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975
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Published Paper ID:
JETIR2503147
Registration ID:
556202
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Title
Predicting renewable energy and demand in an integrated smart grid
Abstract
A methodology that accurately models a microgrid and predicts load demand and renewable energy is presented in the study. The scheduler forecasts and uses electricity spot prices to optimize the microgrid's daily cost. The conventional sources and energy storage are logically scheduled to satisfy the demand. The forecasting models shown here provide a great way to determine the right architecture to protect energy management, scheduling efficiency, and grid stability. Lastly, a greater understanding of how the smart grid system operates is made possible by the results.
Key Words
Smart Grid, Renewable Energy, Forecasting, Cost Optimization, Scheduling
Cite This Article
"Predicting renewable energy and demand in an integrated smart grid", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 3, page no.b431-b439, March-2025, Available :http://www.jetir.org/papers/JETIR2503147.pdf
ISSN
2349-5162 | Impact Factor 7.95 Calculate by Google Scholar
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Cite This Article
"Predicting renewable energy and demand in an integrated smart grid", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 3, page no. ppb431-b439, March-2025, Available at : http://www.jetir.org/papers/JETIR2503147.pdf
Publication Details
Published Paper ID: JETIR2503147
Registration ID: 556202
Published In: Volume 12 | Issue 3 | Year March-2025
Page No: b431-b439
Country: JUNAGADH, Gujarat, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIR2503147
Published Paper PDF: https://www.jetir.org/papers/JETIR2503147
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