Analysis of Artificial Neural-Network

Abstract

Due to the global environmental concerns, increasing energy demands and developments in renewable energy technologies present a new opportunity to implement renewable energy sources. Wind energy is the most prominent among renewable sources, as it is an inexhaustible resource and its exploitation has thus far been ecologically friendly. The potential amount of wind energy is considerably greater than current worldwide energy demands. Wind energy has been developing more rapidly than the other renewable energy sources for the last few decades. The best way to harvest the wind energy is wind turbines. This paper presents a study on wind energy in the form of a stand-alone and hybrid power generation system used to electrify off-grid locations. The stand-alone wind-diesel system developed here is intended to be used to power a single house or a small community and it also functions as a mini-grid, generating power in places where adequate wind speed is available throughout the year. However, many places throughout the world experience unsteady amounts of wind speed and in those places, a hybrid wind-diesel system is the most efficient solution for electrification. The main benefit of the hybrid system is that the weakness of one source is covered by the other source. This paper also presents some comparative case studies, project examples and demonstrations of stand-alone wind diesel hybrid systems implemented at various locations throughout the world over the last twelve years. Mohd Azrul "Applications of Energy Storage Systems in Wind Based Power System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018, URL: http://www.ijtsrd.com/papers/ijtsrd18468.pdf

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  • EP ID EP410539
  • DOI -
  • Views 57
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How To Cite

(2018). Analysis of Artificial Neural-Network. International Journal of Trend in Scientific Research and Development, 2(6), 418-428. https://europub.co.uk/articles/-A-410539