@article{scholars12285,
            note = {cited By 8; Conference of International Conference on Intelligent Computing and Optimization, ICO 2018 ; Conference Date: 4 October 2018 Through 5 October 2018; Conference Code:219079},
          volume = {866},
             doi = {10.1007/978-3-030-00979-3{$_3$}{$_4$}},
           title = {Evaluation of the Silicon Solar Cell Parameters},
            year = {2019},
       publisher = {Springer Verlag},
         journal = {Advances in Intelligent Systems and Computing},
           pages = {328--336},
            isbn = {9783030009786},
            issn = {21945357},
          author = {Kharchenko, V. and Nikitin, B. and Tikhonov, P. and Panchenko, V. and Vasant, P.},
        abstract = {For estimation and prediction of PV solar cell parameters there was suggested and developed the methodology based on acceptance for consideration the important peculiarity internal photoeffect which mind-set in the fact that photon of sunlight can form only one electron-hole pair despite of its energy level and that the solar radiation is characterized by spectral distribution of photons of various length of a wave. The main point of the methodology is consideration the process of electron-hole pairs formation under influence of photons of given site of solar spectrum with semiconductor (silicon) used as solar cell substrate. Some results of this kind calculation are represented in the paper. {\^A}{\copyright} 2019, Springer Nature Switzerland AG.},
        keywords = {Intelligent computing; Parameter estimation; Photons; Semiconductor materials; Silicon solar cells; Solar radiation; Substrates, Electron hole pairs; Estimation and predictions; PV solar cells; Solar cell parameters; Solar cell substrates; Solar irradiation; Spectral distribution; Sunlight, Solar cells},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054727483&doi=10.1007\%2f978-3-030-00979-3\%5f34&partnerID=40&md5=4a51bd61d01cb941677e0c29021d04f8}
}