Sustainable renewable energy system selection for self-sufficient households using integrated fermatean neutrosophic fuzzy stratified AHP-MARCOS approach

Future focus ought to be on developing sustainable cities by cutting down on energy waste, and constructing environments that are carbon neutral. To achieve this objective, it is necessary to develop smart homes with self-sufficient power generation, storage, and consumption based on distributed renewable energy resources with good infrastructure. This energy system should be environmentally, technically, commercially, and socially sustainable. However, none of the alternative energy sources can completely meet these demands, even though wind and solar energy are often the most practical forms of renewable energy. Currently, many studies focused on fusing these two to benefit from their complimentary characteristics. Deploying optimal system of renewable energy on each house is very difficult due to various socio-economical barriers in selection and implementation of such technology leads to formulate respective decision-making problems. The fermatean neutrosophic fuzzy preferences handles problems uncertainty and the stratified target concept approves its ranking sustainability. Since, eight plausible targets were identified for ideal criteria weights which determined hybrid electric system as the best choice out of four possible options for future smart houses. The economical benefits of hybrid system is convincing enough to be taken into account for increased power generating capacity in developing nations. Furthermore, the proposed hybrid fuzzy decision-making technique is quite encouraging for governing authorities or specialists to make forward-thinking judgments on numerous real-world challenges due to its outcome sustainability, accuracy, and consistency.