- Tytuł:
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Przewidywanie zużycia energii w platformie Przemysłu 4.0 – przegląd rozwiązań
Prediction of Energy Consumption in the Industry 4.0 Platform – Solutions Overview - Autorzy:
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Ptasiński, Wojciech
Kucharczyk, Jacek
Pollak, Artur
Gąśiorek, Damian
Mężyk, Arkadiusz
Temich, Sebastian - Wydawca:
- Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
- Cytata wydawnicza:
- Temich, S., Pollak, A., Kucharczyk, J., Ptasiński, W., Mężyk, A., & Gąsiorek, D. (2021). Prediction of energy consumption in the Industry 4.0 platform-solutions overview. Journal of Theoretical and Applied Mechanics, 59, 455-468.
- Opis:
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Development, through R&D work, of the Nazca 4.0 production optimization platform
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.
European Regional Development Fund (ERDF) under the Regional Operational Programme for the Silesian Voivodeship 2014–2020 (Agreement No. UDA- -RPSL.01.02.00-24-047G/19-00). - Dostawca treści:
- Repozytorium Centrum Otwartej Nauki
Artykuł