Review on improved neural network algorithms for battery state of energy estimation in smart grids

Key Points

• Accurate energy estimation is crucial for smart grid efficiency and reliability, highlighting the importance of improved algorithms.
• Enhanced neural network algorithms can significantly reduce estimation errors and inform better energy management decisions.
• The review discusses various methodologies, emphasizing innovations in neural network structures that improve accuracy for battery state assessment.
• These advancements indicate a shift towards more intelligent energy systems, likely benefiting overall energy distribution and consumption.