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)
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Abstract
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.
| Item Type: | Article |
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| Additional Information: | JCR® Category: Multidisciplinary Sciences. Quartile: Q2 |
| Uncontrolled Keywords: | Forecasting method; Solar radiation; Information noise; Neural network; Computational intelligence |
| Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management Q Science > QA Mathematics > QA76 Computer software |
| Faculty/Division: | Faculty of Computer System And Software Engineering |
| Depositing User: | Pn. Hazlinda Abd Rahman |
| Date Deposited: | 19 Feb 2018 03:58 |
| Last Modified: | 21 Nov 2018 03:02 |
| URI: | http://umpir.ump.edu.my/id/eprint/19756 |
| Download Statistic: | View Download Statistics |
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