- Tytuł:
- Prediction of energy consumption in the Industry 4.0 platform- solutions overview
- Autorzy:
-
Temich, Sebastian
Pollak, Artur
Kucharczyk, Jacek
Ptasiński, Wojciech
Mężyk, Arkadiusz
Gąsiorek, Damian - Powiązania:
- https://bibliotekanauki.pl/articles/1839684.pdf
- Data publikacji:
- 2021
- Wydawca:
- Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
- Tematy:
-
Industry 4.0
artificial intelligence
IPOE
production management
mechanical engineering
production engineering - Opis:
- For a long time, scientific and technical work has been focused on production management, which affects both the correctness of the process and the costs generated. One of the integral elements of the production process management is energy, which has an impact on the organization of work, operation of machines or production. Predicting the energy consumption of smart facilities is crucial for implementing energy-efficient management systems, the area of this problem is a key aspect of smart grids whereby loads must be planned in real time. One of the main tasks of intelligent systems is to optimize the energy demand and costs to maximize energy efficiency of the facility. According to forecasting requirements, the following article presents several approaches to prediction of energy consumption models for production engineering systems. The proposed models were adopted and analyzed in terms of their usability and were trained and validated with the use of real data collected from the electrical installation of some company using the APA IPOE system.
- Źródło:
-
Journal of Theoretical and Applied Mechanics; 2021, 59, 3; 455-468
1429-2955 - Pojawia się w:
- Journal of Theoretical and Applied Mechanics
- Dostawca treści:
- Biblioteka Nauki
Artykuł