Quadruple-Valued Neutrosophic Offset for Maintenance Platforms Design Quality Evaluation of Digital Monitoring and Remote Operation in New Energy Power Generation Systems

Abstract

As global energy systems shift towards renewable sources, the need for efficient, 
intelligent, and remotely operable maintenance platforms in new energy power generation 
systems has become increasingly urgent. This study evaluates the design quality of digital 
monitoring and remote operation platforms deployed in wind, solar, and hybrid energy facilities. 
By establishing a comprehensive set of eight evaluation criteria ranging from system reliability to 
predictive maintenance capabilities the study compares seven leading digital platforms. The 
evaluation incorporates technical performance, cybersecurity, user experience, and scalability to 
determine the most effective solutions. This study uses the Quadruple-Valued Neutrosophic 
Offset to evaluate alternatives and select the best one. We show some operations and definitions 
of Quadruple-Valued Neutrosophic Offset. Results highlight that platforms integrating AI-based 
diagnostics, real-time IoT connectivity, and robust remote accessibility rank highest in overall 
design quality. This research provides actionable insights for energy technology developers, plant 
operators, and policymakers seeking to optimize operations and reduce downtime in renewable 
energy infrastructure. 

DOI: 10.5281/zenodo.15873477