Прогнозирование и оценка выработки энергии на солнечных станциях: состояние проблемы и тенденции развития
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Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

Forecasting and evaluation of energy generation at solar power plants: the state of the problem and development trends

idLoba I.S. idMachueva D.A. idAzhmukhamedov I.M.

UDC 004.942:621.311
DOI: 10.26102/2310-6018/2024.44.1.008

  • Abstract
  • List of references
  • About authors

The paper considers the relevant issues related to the problem of calculations and forecasting in the production of solar electricity as a renewable energy source. To detect problems, the initial data for modeling and their sources have been identified. Renewable energy sources are systematized and an example is given for each. An analysis of the state of the global energy market and the state of government policy in the field of energy in Russia has underscored the need to address solar energy issues and solve the problems of forecasting electricity generation. This is important not only due to the availability of resources, but also to environmental friendliness. The classification of existing models and methods for forecasting SES energy generation is examined. Existing methods allow calculations to predict the power generation capacity, but they give average figures for the year. New technological and innovative methods are required to solve the existing problem. The key factors and aspects of the introduction and operation of a solar power plant are presented. The main difficulty in forecasting is taking into account a variety of nonlinear characteristics. An attempt to solve this problem is proposed. An overview of the state of the problem and trends in the development of solar energy is made, among which the main problems are identified and solutions are outlined.

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Loba Inna Sergeevna

Email: lobainna@mail.ru

ORCID |

Armavir State Pedagogical University

Armavir, the Russian Federation

Machueva Dina Aluyevna
Candidate of Technical Sciences Associate Professor

ORCID |

at Grozny State Oil Technical University

Grozny, the Russian Federation

Azhmukhamedov Iskandar Maratovich
Doctor of Engineering Sciences

ORCID |

Tatishchev Astrakhan State University

Astrakhan, the Russian Federation

Keywords: solar energy, renewable energy sources, aspects and operation of a solar power plant implementation, forecasting solar energy generation, forecasting methods

For citation: Loba I.S. Machueva D.A. Azhmukhamedov I.M. Forecasting and evaluation of energy generation at solar power plants: the state of the problem and development trends. Modeling, Optimization and Information Technology. 2024;12(1). Available from: https://moitvivt.ru/ru/journal/pdf?id=1499 DOI: 10.26102/2310-6018/2024.44.1.008 (In Russ).

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Full text in PDF

Received 12.01.2024

Revised 06.02.2024

Accepted 13.02.2024

Published 14.02.2024