| Issue |
E3S Web Conf.
Volume 494, 2024
International Conference on Ensuring Sustainable Development: Ecology, Energy, Earth Science and Agriculture (AEES2023)
|
|
|---|---|---|
| Article Number | 03004 | |
| Number of page(s) | 9 | |
| Section | Problems of the Energy Complex | |
| DOI | https://doi.org/10.1051/e3sconf/202449403004 | |
| Published online | 22 February 2024 | |
Development of a neural network module for forecasting demand for energy consumption by mass construction projects
National Research University "Moscow Power Engineering Institute" (NRU "MPEI"), Russia
* Corresponding author: GuzhovSV@mpei.ru
The paper proposes a solution to the current problem of forecasting demand for energy consumption by mass construction projects using the apparatus of artificial neural networks (ANN). An analysis of information on ANN models that are widely used to solve the problem was carried out. An ANN model has been developed, focused on forecasting the demand for energy consumption of mass construction projects, which has been trained and tested on real data sets about schools of typical buildings. A software neural network module has been developed for creating ANN models by users without special programming skills.
© The Authors, published by EDP Sciences, 2024
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