Pregled bibliografske jedinice broj: 1186782
Architecture of an Artificial Intelligence Model Manager for Event- Driven Component-Based SCADA Systems
Architecture of an Artificial Intelligence Model Manager for Event- Driven Component-Based SCADA Systems // IEEE Access, 10 (2022), 30414-30426 doi:10.1109/ACCESS.2022.3159715 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1186782 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Architecture of an Artificial Intelligence Model Manager for Event-
Driven Component-Based SCADA Systems
Autori
Sičanica, Zlatan ; Sučić, Stjepan ; Milašinović, Boris
Izvornik
IEEE Access (2169-3536) 10
(2022);
30414-30426
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Artificial intelligence ; power system analysis computing ; SCADA systems ; software architecture
Sažetak
This paper analyzes Hat, an open-source framework for developing event-driven component-based SCADA applications, and discusses possibilities to add various analytical tools to such platforms. As a part of the contribution, an open-source component called Artificial Intelligence Model Manager (AIMM) has been developed and integrated into a Hat-based SCADA platform. AIMM is extensible through various plugins, allowing the addition of various models for advanced analytics e.g., machine learning tools, statistical tools, etc. The paper describes AIMM architecture and provides a use case in which state estimation was performed in a medium-voltage distribution grid. This case study demonstrates that it is possible to extend component-based SCADA systems with components for advanced analytics with minimal fundamental system changes.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
