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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 5 | Month- May 2024
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Published Paper Details:
Paper Title
NEURAL NETWORK BASED ENERGY MANAGEMENT FOR HYBRID RENEWABLE SYSTEM DESIGN FOR RESIDENTIAL LOAD
Authors
Rupali Parabhane, Nikita Omase, Sangita Patil
Keywords
power management, ANN , Power flow resistance.
Abstract
The projected energy management system is designed to improve the efficiency of a hybrid micro grid system that uses solar modules, wind turbines, and battery storage devices. It is programmed to execute various tasks such as balancing the system's voltage and current, and generating and storing energy. For minimizing power-flow resistance and maintaining a constant voltage, the proposed system uses an Artificial Neural Network. A fuel cell is added to a solar-powered system to ensure that the electricity flows continuously.
IJCRT's Publication Details
Unique Identification Number - IJCRT2201307
Paper ID - 214576
Page Number(s) - c716-c719
Pubished in - Volume 10 | Issue 1 | January 2022
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Rupali Parabhane, Nikita Omase, Sangita Patil, "NEURAL NETWORK BASED ENERGY MANAGEMENT FOR HYBRID RENEWABLE SYSTEM DESIGN FOR RESIDENTIAL LOAD", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 1, pp.c716-c719, January 2022, Available at :http://www.ijcrt.org/papers/IJCRT2201307.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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