Integrating AI Deep Reinforcement Learning With Evolutionary Algorithms for Advanced Threat Detection in Smart City Energy Management

The integration of Deep Reinforcement Learning (DRL) with Evolutionary Algorithms (EAs) represents a significant advancement in optimizing smart city energy operations, addressing the inherent uncertainties and dynamic conditions of urban environments. This study explores how the synergy between DRL...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Fenghua Liu, Xiaoming Li
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	Stochastic optimization smart city energy operations evolutionary algorithms energy efficiency renewable energy integration
Online Access:	https://ieeexplore.ieee.org/document/10701275/