The practice of connectionist model for predicting forest fires in the Arctic zones of the Krasnoyarsk Territory

Grebnev, Yaroslav; Moskalev, A K; Vershkov, Anatoliy; Gazizulina, Albina

doi:10.1007/s13198-019-00786-w

Cited by 2 publications

(1 citation statement)

References 14 publications

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“…The calculation results are shown in Table 3. [13][14][15][16] When calculating, an annual growth of profit is taken in the amount of 7% due to an increase in energy prices. 106977 106977 0,33 35302 -96866 2039 114465 114465 0,312 35713 -61153 2040 122478 122478 0,299 36621 -24532 2041 131051 131051 0,284 37219 12686 2042 140225 140225 0,275 38562 51248 2043 150041 150041 0,266 39911 91159 Net present value becomes positive starting in 2041.…”

Section: Resultsmentioning

confidence: 99%

Assessment of development effectiveness of solar energy in Russia

et al. 2020

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Non-renewable fossils are the main source of energy in modern conditions. This method of production and consumption of energy acts as one of the main anthropogenic factors that negatively impact the environment. Besides, limited energy reserves do not guarantee the sustainable development of world energy in the long term. The way out of this situation is using renewable energy sources (RES). Renewable energy sources are one of the promising and innovative areas of energy development. These energy sources allow moving to a new high-quality level of power supply and heat supply of the country and significantly improving the ecological state of settlements. The Russian Federation has all conditions for the implementation of such innovative projects aimed at using renewable energy sources. One of such promising projects is solar energy. The perspective of using solar energy is an almost inexhaustible resource, available everywhere, and also has another advantage high environmental safety. Besides, solar energy is characterized by low indicators in terms of capital and operating costs, a lower cost of electricity compared to traditional energy as well. In this study, the perspectives for the development of solar energy in the Russian Federation are identified. The existing solar capacities in Russia are analyzed, the main developments of solar energy in the country are determined. A model for assessing the economic efficiency of floating power plants is proposed in this paper. These plants make it possible to provide electricity to entire settlements. Having been the study, conclusions are drawn about the prospects of using such power plants as sources of cheap energy and environmental compatibility.

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Section: Resultsmentioning

confidence: 99%

Assessment of development effectiveness of solar energy in Russia

et al. 2020

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Petroleum Bottling Model in the Arctic Zone of Krasnoyarsk Region by Neural Network Forecasting

Moskalev

Grebnev

2021

E3S Web Conf.

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Industrial development and active development of resources in the territory of the fragile Arctic ecosystem requires proper control of technological processes at enterprises located in these areas. Analysis and subsequent modelling of oil and oil products spills are performed in order to elaborate preventive measures concerning emergencies, means and methods of their liquidation being constantly ready to ensure safety of people and territories, as well as to reduce damage and losses as much as possible in case of their occurrence. The methods of oil product spill area assessment used at present, especially in the Arctic zone, have a number of limitations. This article presents modelling of the process of oil products spill to calculate pollutants concentration distribution and prediction of pollution area up to the moment of its localization with the application of neural network methods. The empirical results were got with NeuroPro neural network simulator and the PHOENICS software product were chosen. The simulation results were correlated with the data obtained in the analysis of an accident caused by depressurization of an aircraft fuel transfer pipeline from on an oil-loading pier on a river in the Arctic zone of Krasnoyarsk Krai.

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The practice of connectionist model for predicting forest fires in the Arctic zones of the Krasnoyarsk Territory

Cited by 2 publications

References 14 publications

Assessment of development effectiveness of solar energy in Russia

Assessment of development effectiveness of solar energy in Russia

Petroleum Bottling Model in the Arctic Zone of Krasnoyarsk Region by Neural Network Forecasting

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