scholarly journals Prophet-Based Research on the Medium and Long-Term Forecast Method of the F10.7 Flux of the Sun

2021 ◽  
Vol 2026 (1) ◽  
pp. 012051
Author(s):  
Shuqin Zhu
2014 ◽  
Vol 950 ◽  
pp. 214-220
Author(s):  
Ying Lin

We forecast wind power in a way combining wavelet neutral network and rolling forecast. At the same time, we build a system of forecast deviation. Then we use some data to test our model, which yields a desirable result. In addition, we are informed that our method can predict wind power correctly in a long time and short sampling interval can lead to a better result than long sampling interval.


2018 ◽  
Vol 155 ◽  
pp. 108-119 ◽  
Author(s):  
Jiazheng Lu ◽  
Jun Guo ◽  
Xunjian Xu ◽  
Li Yang

Author(s):  
P.V. Strekalova ◽  
◽  
A.A. Solov’ev ◽  
V.V. Smirnova ◽  
Y.A. Nagovitsyn ◽  
...  
Keyword(s):  

2020 ◽  
Vol 240 ◽  
pp. 07011
Author(s):  
Kushagra Shrivastava ◽  
Keith Wen Kai Chia ◽  
Kang Jun Wong ◽  
Alfred Yong Liang Tan ◽  
Hwee Tiang Ning

Solar activity research provides insight into the Sun’s past, future (Science Daily, 2018). The solar activity includes observations of large numbers of intense sunspots, flares, and other phenomena; and demands a wide range of techniques and measurements on the observations. This research needs long term data collection before critical analyses can occur, to generate meaningful learning and knowledge. In this project, we will use solar imaging to make observations of solar activity, and take our baby steps to make contributions in citizen science. Observations will be made in 3 wavelengths to gain a more thorough analysis by looking at different perspectives of the Sun, namely H-Alpha, Calcium-K, and white light.


2021 ◽  
Vol 2103 (1) ◽  
pp. 012038
Author(s):  
S Veretenenko ◽  
M Ogurtsov ◽  
V Obridko ◽  
A Tlatov

Abstract Long-term evolution of areas with open configuration of magnetic field (coronal holes) on the Sun reconstructed on the basis of H-alpha synoptic charts for the period 1887-2016 was studied and compared with annual occurrence frequencies of magnetic storms with gradual (GC) commencements. It was found that correlation between yearly values of coronal hole (CH) areas and sunspot numbers with no time shift is negative and not strong, but increases up to ∼0.6-0.7 when CH areas are delayed by 4-5 years relative to sunspot numbers. Temporal variations of CH areas in the Northern and Southern hemispheres are characterized by dominant ∼11-year periodicities; however, they differ significantly on the multidecadal time scale. The wavelet spectra of CH areas in the Southern hemisphere, unlike those in the Northern one, reveal persistent periodicities of ∼30-35 years on the studied time interval. Similar periodicities of ∼30-35 years are observed in annual occurrences of GC magnetic storms which are caused by high-speed streams of solar wind from coronal holes. The results of cross wavelet analysis of annual occurrence frequencies of GC magnetic storms and areas of coronal holes revealed common periodicities ∼11, ∼35 and ∼60 years which confirmed a close link of these storms with the evolution of large-scale magnetic fields on the Sun.


2013 ◽  
Vol 441 ◽  
pp. 1060-1063
Author(s):  
Hui Ling Yu ◽  
Hao Liang ◽  
De Lin Fan

Man-made boards often made use of waste wood materials. China is one of the worlds largest manufacturers and consumers of man-made board applications. Application of the law of evolution with a S-shaped curve could contribute essentially to the accuracy of the long-term forecast. This research seeks to determine the current stage and the position on the S-curve of man-made board technology in China on the TRIZ evolution theory and introduce a methodology which combines patent analysis and technology life cycle forecasting to find a niche space of man-made technology development in China.


Author(s):  
E.S. Lartseva ◽  
◽  
A.D. Kuznetsova

Based on official statistics on the number, of representatives of the family of non-ruminant cloven-hoofed animals (Artiodactyl) on the territory of the Russian Federation. Using the example of two species: domestic pigs and wild boars, the dynamics of the indicator for the long term is analyzed. Multidirectional trends were revealed for each species. Mathematical models of the dynamics of the livestock were obtained using the methods of regression analysis and applied software. Statistical estimates of the quality of animal population models were obtained. The short-term forecast for 2020 has been fulfilled.


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