Analysis and Implementation of the Artificial Neural Network (ANN) Approach for the Integration of Solar and Wind Energy Sources into Telecommunication Systems

Mr. Ashish Chourey; Dr. Ritu Shrivastava | Dr. Rajiv Srivastava; Shreya Deshmukh

Title:
Analysis and Implementation of the Artificial Neural Network (ANN) Approach for the Integration of Solar and Wind Energy Sources into Telecommunication Systems

Authors:
Shreya Deshmukh | Mr. Ashish Chourey | Dr. Ritu Shrivastava | Dr. Rajiv Srivastava

Cite This Article :

Shreya Deshmukh | Mr. Ashish Chourey | Dr. Ritu Shrivastava | Dr. Rajiv Srivastava "Analysis and Implementation of the Artificial Neural Network (ANN) Approach for the Integration of Solar and Wind Energy Sources into Telecommunication Systems" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-5, August 2022, pp.1962-1970, URL: https://www.ijtsrd.com/papers/ijtsrd51786.pdf

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Abstract :
In order to sustain monetary growth, the introduction of renewable energy into the electricity grid is crucial especially for many foreign African locations. Thus, in order to reap sustainable strength, these foreign locations may also outfit their airport electrical equipment with advanced synthetic intelligence technologies. For a distributive hybrid solar strength grid, the paper attempts to propose an actual-time energy management algorithm. It continues with the combining of photovoltaic and wind energy for network simulation. As a function of the number of wind aero-mills and photovoltaic solar panels, a multi-goal approach is proposed to optimize the spectral efficiency of the location and the energy performance. For the MATLAB software simulation, radio criteria for Cell Wireless Interoperability Medium Access (WiMAX) technologies are taken into account. The obtained effects are much mitigated however theoretically encouraging for the mixing of green energy integration into the modern telecommunication structures.

Keywords :
Artificial neural network (ANN), Green energy, multi-objective problem, Power generation optimization, Theoretical formulation, Solar & Wind radiation prediction

Publication Details:

Unique Identification Number : IJTSRD51786

Published In : Volume-6 | Issue-5, August 2022

Page Number(s) : 1962-1970

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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