| Issue |
BIO Web Conf.
Volume 71, 2023
II International Conference on Current Issues of Breeding, Technology and Processing of Agricultural Crops, and Environment (CIBTA-II-2023)
|
|
|---|---|---|
| Article Number | 02041 | |
| Number of page(s) | 8 | |
| Section | Ecology, Environmental Protection and Conservation of Biological Diversity | |
| DOI | https://doi.org/10.1051/bioconf/20237102041 | |
| Published online | 07 November 2023 | |
Influence of climate data quality on predictive accuracy of production and consumption of energy resources by a city
National Research University “MPEI”, Moscow, Russian Federation
* Corresponding author: GuzhovSV@mpei.ru
The article provides a list of hazardous climatic phenomena and examples of some of their effects on the constituent structural elements of the power plant. In the framework of this article, the impact of the duration of hot weather on the operation of nuclear power plants is considered. An analysis was made and the stations most susceptible to global climate change in terms of increasing summer temperatures were identified. For the two most representative stations, modeling based on artificial neural networks was performed and conclusions were drawn about an increase in the number and duration of hot days per year. The best forecast result for St. Petersburg NPP is 54.59%, for Kursk NPP - 22.18%. The structure and method of formation of the predictive function are analyzed. Methods are proposed to improve the accuracy of the forecast by varying the discretization value of the initial data, as well as by changing the activation function of the artificial neural network.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.