Assessing carbon-neutral supercapacitors in renewable energy systems with self-improving agent-based molecular fuzzy intelligent algorithms.

ABSTRACT: Carbon-neutral supercapacitors play an important role in renewable energy investments as environmentally friendly devices that both function as energy storage and aim to reduce carbon footprint. This situation can cause waste of resources and wrong prioritization decisions. In this context, the main problem is that the most important factors affecting the technical investment performance of carbon-neutral supercapacitors have not been determined. To fill this gap, this study proposes an original decision-making model to determine the importance levels of variables affecting the performance of these devices and to present appropriate investment strategies. The proposed model includes the integrated use of Entropy-game-based expert weighting method, Q-learning algorithm, molecular fuzzy inte

SUBMITTER: Castillo O 

PROVIDER: S-EPMC12318057 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature