Симбіоз штучного інтелекту і систем керування судновою електроенергетичною установкою: сучасне та майбутнє

The paper addresses the current challenge of enhancing the efficiency, safety, and environmental sustainability of maritime transport. The main article's idea is that this aim can be achieved by integrating artificial intelligence (AI) technologies into a ship's automated electrical energy systems (SAEES). The first article's part is dedicated to the evolution of the SAEES architecture and six main energy management strategies: centralized and decentralized systems, hierarchical methodologies, model predictive control, agent-oriented control systems, and energy management systems. The analysis of each approach includes its advantages and disadvantages, considering parameters such as efficiency, stability, implementation and maintenance costs, environmental impact, complexity, and scalability. The second part concentrated on reviewing applications of AI technologies in the maritime industry. It presented practical examples of AI usages in the marine industry, particularly in navigation, diagnostics, and route optimization. Another attention was focused on the profit of integrating AI into SAEES. It was found that this symbiosis can bring improvement to every core parameter in these systems. The main challenges associated with global issues of safety and cybersecurity of AI systems, exceptional employees’ qualification, complexity of integration with existing systems, guaranteeing the stability and predictability of AI algorithms, problems of data quality and standardization, regulatory and ethical aspects. Moreover, the paper presents potential future developments of AI and ship electrical energy control systems' symbiosis. The primary objectives include further SAEES automatizations, integrating with new energy sources, optimizing ship equipment operation, and solving existing challenges and limitations