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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| Format: | Article |
| Language: | English |
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American Scientific Publisher
2018
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| Online Access: | 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 |
| _version_ | 1848820955365769216 |
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| 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 |
| building | UMP Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T02:17:40Z |
| format | Article |
| id | ump-19756 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:17:40Z |
| publishDate | 2018 |
| publisher | American Scientific Publisher |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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. (Published) https://doi.org/10.1166/asl.2018.12970 doi: 10.1166/asl.2018.12970 |
| 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 |
| title | 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_short | 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 |
| topic | HD28 Management. Industrial Management QA76 Computer software |
| 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 |