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All issues Volume 280 (2021) E3S Web Conf., 280 (2021) 09010 References
Open Access
Issue
E3S Web Conf.
Volume 280, 2021
Second International Conference on Sustainable Futures: Environmental, Technological, Social and Economic Matters (ICSF 2021)
Article Number 09010
Number of page(s) 7
Section Innovative Approaches for Solving Environmental Issues
DOI https://doi.org/10.1051/e3sconf/202128009010
Published online 30 June 2021
  1. V.S. Podgyrenko, I.V. Stepanets, V.E. Terekhov, Centuries-old ukrainian traditions in using wind energy, Energy saving. Power engineering. Energy audit, 5, 40 – 50 (2014) [Google Scholar]
  2. Advancing the global renewable energy transition, Paris: Renewable Energy Policy Network REN21 Secretariat for the 21st Century (2018) [Google Scholar]
  3. Wind energy in Europe in 2018. Trends and statistics, (WindEurope Business Intelligence, Brussels, 2018) [Google Scholar]
  4. P.F. Vasko, A.A. Bryl', P.P. Pekur, Opredelenie tekhnicheskih pokazatelej effektivnosti ispol'zovaniya vetroelektricheskih agregatov v Ukraine, Energetika i elektrifikaciya, 2, 48 –51 (1995) [Google Scholar]
  5. P.F. Vasko, Metodyka ekspertnogo vyznachennya pokaznykіv tekhnіchnoi efektyvnostі vykorystannya vіtroenergetychnyh ustanovok v Ukrainі, Tezy dopovidei IV naukovo – praktychnoi konferentsii z pytan’ rozvytku i vprovadzhennia tekhniky i tekhnolohii vykorystannia netradytsiinykh i vidnovliuvanykh dzherel enerhii 7 – 12 veresnia 1995r. AR Krym, 14 (1995) [Google Scholar]
  6. P.F. Vasko, Systemy elektromekhanichnoho peretvoriuvannia enerhii vitru (The Institute of Electrodynamics of the National Academy of Sciences of Ukraine, Kyiv,1998) [Google Scholar]
  7. L.Z. Piven’, Raschet vetroenergeticheskogo kadastra po dannym anemorazvedki. Nauchnye trudy instituta problem energosberezheniya AN USSR, 149 – 156 (1991) [Google Scholar]
  8. M. Tsuchiya, T. Ishihara, and Y. Fukumoto, The Wind Observation on the Pacific Ocean for Offshore Wind Farm, Proc. of EWEC 2006 (2006) [Google Scholar]
  9. I. Troen, European Wind Atlas. Roskilde: Risø National Laboratory (Bonde’s Offset, Copenhagen, 1989) [Google Scholar]
  10. A.I. Prymak, Z.V. Masliukova, Enerhetychnyi potentsial ta perspektyvy vykorystannia vidnovliuvanykh dzherel enerhii u m. Pyriatyn Poltavskoi oblasti. Vidnovluvana energetika, 1, 17 – 27 (2009) [Google Scholar]
  11. V.N. Konstantinov, R.S. Abdrakhmanov, Vybor VEU i otsenka ikh proizvoditel’nosti, Problemy energetitki, 11 – 12, 48 –52 (2005) [Google Scholar]
  12. A.B. Rykhlov, Climatic-Information Technology of Wind-Energetic Tasks Solving, Izvestiya Of Saratov University, T.12, Seriya Nauki o Zemle, vyp.1, 30 – 33 (2012) [Google Scholar]
  13. Tekhnicheskaya entsiklopediya. T. 3. Vtoroe izd., ispr. i dop., 702 (ONTI NK TP SSSR, Moscow, 1937). [Google Scholar]
  14. V.V. Zubarev, V.A. Minin, I.R. Stepanov, Ispol’zovanie energii vetra v raionakh Severa. Sostoyanie, usloviya effektivnosti, perspektivy, 63 (Nauka, Leningrad, 1989) [Google Scholar]
  15. V.H. Shulha, B.P. Korobko, Dopovid Mizhhaluzevii koordynatsiinii radi pro vyznachennia naibilsh perspektyvnykh ploshchadok dlia budivnytstva VES v Ukraini. 21 – 23 (Government-run Scientific- Research and Designing-Construction Institute of Unconventional Power Engineering, Kyiv, 1998) [Google Scholar]
  16. N.S. Golubenko, S.I. Dovgalyuk, A.M. Fel’dman, V.B. Khudik, O zavisimosti skorosti vetra ot vysoty s uchetom rel’efa mestnosti. (2005), http://masters.donntu.org/2012/fkita/cherkashin/lib rary/6/index.htm. Accessed 09 Mar 2021 [Google Scholar]
  17. R.I. Borisov, V.P. Burichenko, Optimizatsiya vybora osnovnykh parametrov vetroelektricheskikh stantsii. Energetika i elektrifikacyia, 7, 42 – 45 (1999) [Google Scholar]
  18. V.S. Krivtsov, A.M. Oleinikov, A.I. Yakovlev, Neischerpaemaya energiya. Kn. 1. Vetroelektrogeneratory, (Natsional’nyi aerokosmicheskii universitet “Khar’kovskii aviatsionnyi institut”, Kharkov, Sevastopol National Technical University, Sevastopol’ 2003) [Google Scholar]
  19. V.I. Kukushkin, P.F. Vas’ko, Vybir ratsionalnykh konstruktyvnykh parametriv vitroustanovok dlia vitrovykh umov Ukrainy, 53 – 57 (CSTEI, Lviv, 2003) [Google Scholar]
  20. V.S. Podgurenko, V.N. Bordyugov, Tekhniko – analitichekoe predlozhenie po stroitel’stvu promyshlennoi VES v pribrezhnoi zone Ochakovskogo raiona. (po dogovoru s tekhnoparkom KPI) NTO inv. № AVES600. B.0000.09.T01, (YuG PVTs NIE “Boyar”, Nikolayev, 2009) [Google Scholar]
  21. V.S. Podgurenko, E.V. Petrov, Predinvestitsionnye raschety effektivnosti stroitel’stva promyshlennoi vetrovoi elektrostantsii na ploshchadkakh, primykayushchikh k Adzhigol’skoi VES v Nikolaevskoi oblasti. Podbor effektivnykh vetroelektricheskikh ustanovok dlya komplektatsii promyshlennykh VES. NTO inv. №AVES- 600.B.0000.09.T02/01, (YuG PVTs NIE “Boyar”, Nikolayev, 2010) [Google Scholar]
  22. C. Carlberg, Statistical Analysis: Microsoft Excel 2016, Que Publishing, ISBN-10 0789759055; ISBN-13 978-0789759054 (2017) [Google Scholar]
  23. Correlation in Excel - Easy Excel Tutorial, https://www.excel-easy.com/examples/correlation.html. Accessed 09 Mar 2021 [Google Scholar]
  24. D. Mindrila, P. Balentyne, Scatterplots and Correlation, Khan Academy (2014), https://www.westga.edu/academics/research/vrc/assets/docs/scatterplots_and_correlation_notes.pdf. Accessed 09 Mar 2021 [Google Scholar]
  25. E.Ya. Lebed’ko, A.M. Khokhlov, D.I. Baranovskii, O.M. Getmanets, Biometriya v MS Excel: uchebnoe posobie, (Izdatel’stvo “Lan’”, Sankt-Petersburg, 2018) [Google Scholar]
  26. M. Allen, The problem of multicollinearity. In: Understanding Regression Analysis, (Springer, Boston, 1997). doi:10.1007/978-0-585-25657-3_37 [Google Scholar]
  27. V. Podgurenko, Operation results of industrial wind power station of the Northern Black Sea Coast in recent five years, Harbin: “Hit summer school of energy 2017. – Chance and Challenge”, 1 – 6 (2017) [Google Scholar]

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