Method for the Forecasting Solar Radiation in the Systems of Technical Vision

Corpuscular radiation imposes negative impact both on the solar panels and the electronic components of satellites. Due to the influence of natural factors and the noise in the information signal, an adequate prediction cannot be received. To overcome this problem, the paper proposes based on the ne...

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Main Authors:	Mezhuyev, Vitaliy, Shvorov, Sergey, Dudnik, Alla, Chyrchenko, Dmitry, Gunchenko, Yurii
Format:	Article
Language:	English
Published:	American Scientific Publisher 2018
Subjects:	HD28 Management. Industrial Management QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/19756/ http://umpir.ump.edu.my/id/eprint/19756/ http://umpir.ump.edu.my/id/eprint/19756/ http://umpir.ump.edu.my/id/eprint/19756/1/38.%20Method%20for%20the%20Forecasting%20Solar%20Radiation%20in%20the%20Systems%20of%20Technical%20Vision1.pdf

id	ump-19756
recordtype	eprints
spelling	ump-197562018-11-21T03:02:33Z http://umpir.ump.edu.my/id/eprint/19756/ Method for the Forecasting Solar Radiation in the Systems of Technical Vision Mezhuyev, Vitaliy Shvorov, Sergey Dudnik, Alla Chyrchenko, Dmitry Gunchenko, Yurii HD28 Management. Industrial Management QA76 Computer software Corpuscular radiation imposes negative impact both on the solar panels and the electronic components of satellites. Due to the influence of natural factors and the noise in the information signal, an adequate prediction cannot be received. To overcome this problem, the paper proposes based on the neural networks method for forecasting influence of solar radiation. To clear a signal from the solar radiation noise, based on the Hilbert-Huang Transform filter was created. The approach was implemented in the Information Measurement System (IMS) of the intensity of solar radiation. Case study confirms the effectiveness of the IMS: based on the filtered signal, an accurate prediction of the time-series was retrieved. American Scientific Publisher 2018-11 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/19756/1/38.%20Method%20for%20the%20Forecasting%20Solar%20Radiation%20in%20the%20Systems%20of%20Technical%20Vision1.pdf Mezhuyev, Vitaliy and Shvorov, Sergey and Dudnik, Alla and Chyrchenko, Dmitry and Gunchenko, Yurii (2018) Method for the Forecasting Solar Radiation in the Systems of Technical Vision. Advanced Science Letters, 24 (10). pp. 7519-7523. ISSN 1936-6612 https://doi.org/10.1166/asl.2018.12970 doi: 10.1166/asl.2018.12970
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	HD28 Management. Industrial Management QA76 Computer software
spellingShingle	HD28 Management. Industrial Management QA76 Computer software Mezhuyev, Vitaliy Shvorov, Sergey Dudnik, Alla Chyrchenko, Dmitry Gunchenko, Yurii Method for the Forecasting Solar Radiation in the Systems of Technical Vision
description	Corpuscular radiation imposes negative impact both on the solar panels and the electronic components of satellites. Due to the influence of natural factors and the noise in the information signal, an adequate prediction cannot be received. To overcome this problem, the paper proposes based on the neural networks method for forecasting influence of solar radiation. To clear a signal from the solar radiation noise, based on the Hilbert-Huang Transform filter was created. The approach was implemented in the Information Measurement System (IMS) of the intensity of solar radiation. Case study confirms the effectiveness of the IMS: based on the filtered signal, an accurate prediction of the time-series was retrieved.
format	Article
author	Mezhuyev, Vitaliy Shvorov, Sergey Dudnik, Alla Chyrchenko, Dmitry Gunchenko, Yurii
author_facet	Mezhuyev, Vitaliy Shvorov, Sergey Dudnik, Alla Chyrchenko, Dmitry Gunchenko, Yurii
author_sort	Mezhuyev, Vitaliy
title	Method for the Forecasting Solar Radiation in the Systems of Technical Vision
title_short	Method for the Forecasting Solar Radiation in the Systems of Technical Vision
title_full	Method for the Forecasting Solar Radiation in the Systems of Technical Vision
title_fullStr	Method for the Forecasting Solar Radiation in the Systems of Technical Vision
title_full_unstemmed	Method for the Forecasting Solar Radiation in the Systems of Technical Vision
title_sort	method for the forecasting solar radiation in the systems of technical vision
publisher	American Scientific Publisher
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/19756/ http://umpir.ump.edu.my/id/eprint/19756/ http://umpir.ump.edu.my/id/eprint/19756/ http://umpir.ump.edu.my/id/eprint/19756/1/38.%20Method%20for%20the%20Forecasting%20Solar%20Radiation%20in%20the%20Systems%20of%20Technical%20Vision1.pdf
first_indexed	2023-09-18T22:28:19Z
last_indexed	2023-09-18T22:28:19Z
_version_	1777416116199489536

Method for the Forecasting Solar Radiation in the Systems of Technical Vision

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