Hybrid AHP-VIKOR methodology for multi-criteria decision-making in marine renewable energy systems: Optimizing DC-DC buck converters for sustainable offshore applications.

The increasing demand for sustainable offshore energy solutions necessitates efficient power conversion technologies that minimize environmental impact while ensuring reliable energy delivery. The DC-DC buck converter plays a crucial role in marine renewable energy systems, optimizing power conversion for offshore wind, wave, and floating solar applications. However, selecting the most efficient and sustainable converter requires balancing efficiency, reliability, cost, thermal performance, and size under harsh marine conditions.

Integrating type-2 fuzzy logic controllers with digital twin and neural networks for advanced hydropower system management.

The increasing complexity of hydropower systems necessitates advanced control strategies to optimize performance and enhance system reliability. This paper presents a novel approach that integrates Type-2 Fuzzy Logic Controllers (T2FLC), Digital Twin technology, and Neural Networks for comprehensive management of hydropower systems. The proposed hybrid system aims to improve load management, fault detection, and operational efficiency.