Ushbu maqolada Markov zanjiri, boshqacha qilib aytganda, o'tish matritsalari yordamida shamol tezligini bashorat qilish usuli muhokama qilinadi. Mavzuni o'rganayotganda shuni ta'kidlash kerakki, bu usul haqiqiy qiymatlarga juda yaqin bo'lgan ma'lumotlarni yaratish (prognozlash) uchun foydalidir. Shamol fermalaridan olingan shamol tezligi ma'lumotlari ko'pincha turli sabablarga ko'ra o'lchov bo'shliqlariga ega. Natijalar shuni ko'rsatadiki, Markov zanjiri ma'lumotlar seriyasidagi qisqa muddatli bo'shliqlarni to'ldirishning juda samarali usuli hisoblanadi.
Ushbu maqolada Markov zanjiri, boshqacha qilib aytganda, o'tish matritsalari yordamida shamol tezligini bashorat qilish usuli muhokama qilinadi. Mavzuni o'rganayotganda shuni ta'kidlash kerakki, bu usul haqiqiy qiymatlarga juda yaqin bo'lgan ma'lumotlarni yaratish (prognozlash) uchun foydalidir. Shamol fermalaridan olingan shamol tezligi ma'lumotlari ko'pincha turli sabablarga ko'ra o'lchov bo'shliqlariga ega. Natijalar shuni ko'rsatadiki, Markov zanjiri ma'lumotlar seriyasidagi qisqa muddatli bo'shliqlarni to'ldirishning juda samarali usuli hisoblanadi.
In this paper, the method of forecasting wind speed using Markov chain, in other words, transition matrices, is considered. While studying the topic, it should be noted that this method is useful for generating (predicting) datavery close to the actual values. Wind speed data from wind stations often have gaps in the measurements for various reasons. The results show that the Markov chain is a very effective method for filling short-term gaps in the data series
№ | Author name | position | Name of organisation |
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1 | Kurbonov .A. | Teacher | Karshi Engineering and Economic Institute |
2 | Mansurov .A. | Student | Karshi Engineering and Economic Institute |
3 | Eshtemirov J.O. | Student | Karshi Engineering and Economic Institute |
4 | Panjiyev A.B. | Student | Karshi Engineering and Economic Institute |
№ | Name of reference |
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