A recent study published in Nature introduces an enhanced energy management system for island microgrids that utilizes an improved Multiple Adaptive Neuro-Fuzzy Inference System (MANFIS) optimized by a genetic algorithm. This innovative approach combines the strengths of neural networks, fuzzy logic, and evolutionary algorithms to provide more efficient and reliable energy distribution in isolated microgrid setups. By integrating the genetic algorithm, the system can better adapt to changing energy demands and conditions, ensuring optimal performance and reducing energy waste. The proposed model demonstrates significant improvements over traditional methods, highlighting its potential for sustainable and intelligent energy management in remote and off-grid communities.
