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There are many classifications, emphasizing certain features of the object described. The vast majority of cases, the choice of the classification criteria depend on the objectives of forecasting that assumes some of the arbitrariness of objectivity of its construction.
Classification of forecasts, power generation, prediction, classification features, a power complex.
There are many classifications, emphasizing certain features of the object described. The vast majority of cases, the choice of the classification criteria depend on the objectives of forecasting that assumes some of the arbitrariness of objectivity of its construction.
1. Mitruzayev A.E. Methods of forecasting and evaluating economic processes // In the collection: Actual problems of fundamental sciences. Proceedings of the International Scientific Conference. Moscow, 2014. P. 60-68.
2. Darmokrik G.P., Isachenko G.I., Enekova I.V. The use of statistical methods of forecasting in the economy // Actual problems of the humanities and socio-economic sciences. 2011. № 5-3. Pp. 116-121.
3. Poddubnyak OA The main factors affecting energy efficiency // Inn: electronic scientific journal, 2013. № 4 (17). URL: http://www.innov.ru/science/economy/osnovnye-faktory-vliyayushchie-na-e/
4. Kiselev M.I., Pronyakin V.I. Prospects for the power industry of Russia // Devices. 2014. No. 2. P. 25-30.
5. Belovitsky V.A., Bobyleva N.V., Poludnitsyn P.Yu., Uvarova T.A., Chemodanov V.I., Emma Yu.S. Development of the unified energy system of Russia for the period up to 2020 // Power plants. 2012. No. 5. P. 4-13.
6. Fomicheva I.V. Trends in the development of world energy // Scientific research and development. Economy. 2013. Vol. 1. No. 1 (1). Pp. 37-43.
7. Bushuev V.V., Gromov A.I., Kryukov V.A., Kurichev N.K., Mastepanov A.M., Troitsky A.A., Shafranik Yu.K. Fuel and Energy Complex and the Russian Economy // Yesterday, Today, Tomorrow (1990-2010-2030) / Editor-Yu.K. Shafranik; Energy Strategy Institute. Moscow, 2011.
8. Komarov V.S., Lavrinenko A.V., Ilyin S.N. Ultra-long-term forecast of air temperature in the boundary layer of the atmosphere based on the dynamic-stochastic approach // Atmospheric and Oceanic Optics. 2012. Vol. 25. No. 1. P. 70-74.
9. Plekhanov N.A. Accounting for the uncertainty of the external environment (probabilistic statement) // Innov: electronic scientific journal, 2015. № 2 (23). URL: http://www.innov.ru/science/economy/uchyet-neopredelennosti-vneshney-sr/
10. Kornilov D.A. Strategic planning and economic forecasting / monograph. Nizhny Novgorod, 2006.
11. Gorshkov D.O., Kornilov D.A. Methods of forecasting the electric balance of the region // Bulletin of the Nizhny Novgorod University. N.I. Lobachevsky. 2012. № 3-1. Pp. 279-282.
12. Svyatov V.V., Chinenkov L.S. Improvement of production systems (for example, the system for monitoring the execution of works of an industrial enterprise) // Innov: electronic scientific journal, 2013. №3 (16). URL: http://www.innov.ru/science/economy/sovershenstvovanie-proizvodstvennykh/
13. Nezametdinov N.R. Problems of choosing effective investment decisions in conditions of uncertainty // Inn: electronic scientific journal, 2014. № 2 (19). URL: http://www.innov.ru/science/economy/problemy-vybora-effektivnykh-investitsionnykh-resheniy-v-usloviya/
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There are many classifications, emphasizing certain features of the object described. The vast majority of cases, the choice of the classification criteria depend on the objectives of forecasting that assumes some of the arbitrariness of objectivity of its construction.
Classification of forecasts, power generation, prediction, classification features, a power complex.
There are many classifications, emphasizing certain features of the object described. The vast majority of cases, the choice of the classification criteria depend on the objectives of forecasting that assumes some of the arbitrariness of objectivity of its construction.
1. Mitruzayev A.E. Methods of forecasting and evaluating economic processes // In the collection: Actual problems of fundamental sciences. Proceedings of the International Scientific Conference. Moscow, 2014. P. 60-68.
2. Darmokrik G.P., Isachenko G.I., Enekova I.V. The use of statistical methods of forecasting in the economy // Actual problems of the humanities and socio-economic sciences. 2011. № 5-3. Pp. 116-121.
3. Poddubnyak OA The main factors affecting energy efficiency // Inn: electronic scientific journal, 2013. № 4 (17). URL: http://www.innov.ru/science/economy/osnovnye-faktory-vliyayushchie-na-e/
4. Kiselev M.I., Pronyakin V.I. Prospects for the power industry of Russia // Devices. 2014. No. 2. P. 25-30.
5. Belovitsky V.A., Bobyleva N.V., Poludnitsyn P.Yu., Uvarova T.A., Chemodanov V.I., Emma Yu.S. Development of the unified energy system of Russia for the period up to 2020 // Power plants. 2012. No. 5. P. 4-13.
6. Fomicheva I.V. Trends in the development of world energy // Scientific research and development. Economy. 2013. Vol. 1. No. 1 (1). Pp. 37-43.
7. Bushuev V.V., Gromov A.I., Kryukov V.A., Kurichev N.K., Mastepanov A.M., Troitsky A.A., Shafranik Yu.K. Fuel and Energy Complex and the Russian Economy // Yesterday, Today, Tomorrow (1990-2010-2030) / Editor-Yu.K. Shafranik; Energy Strategy Institute. Moscow, 2011.
8. Komarov V.S., Lavrinenko A.V., Ilyin S.N. Ultra-long-term forecast of air temperature in the boundary layer of the atmosphere based on the dynamic-stochastic approach // Atmospheric and Oceanic Optics. 2012. Vol. 25. No. 1. P. 70-74.
9. Plekhanov N.A. Accounting for the uncertainty of the external environment (probabilistic statement) // Innov: electronic scientific journal, 2015. № 2 (23). URL: http://www.innov.ru/science/economy/uchyet-neopredelennosti-vneshney-sr/
10. Kornilov D.A. Strategic planning and economic forecasting / monograph. Nizhny Novgorod, 2006.
11. Gorshkov D.O., Kornilov D.A. Methods of forecasting the electric balance of the region // Bulletin of the Nizhny Novgorod University. N.I. Lobachevsky. 2012. № 3-1. Pp. 279-282.
12. Svyatov V.V., Chinenkov L.S. Improvement of production systems (for example, the system for monitoring the execution of works of an industrial enterprise) // Innov: electronic scientific journal, 2013. №3 (16). URL: http://www.innov.ru/science/economy/sovershenstvovanie-proizvodstvennykh/
13. Nezametdinov N.R. Problems of choosing effective investment decisions in conditions of uncertainty // Inn: electronic scientific journal, 2014. № 2 (19). URL: http://www.innov.ru/science/economy/problemy-vybora-effektivnykh-investitsionnykh-resheniy-v-usloviya/
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