Published on: April 2026
AI-BASED INTELLIGENT ENERGY OPTIMIZATION IN SMART MICROGRIDS USING GENERATIVE ADVERSARIAL NETWORKS
B LikhithaPriya
K Naresh
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Abstract
Energy management in smart microgrids has become more dynamic and sophisticated due to the growing integration of renewable energy sources. Conventional optimization methods frequently fall short in managing uncertain energy generation and varying demand. This research introduces Generative Adversarial Networks (GANs), an artificial intelligence-based method for optimizing energy consumption in smart microgrids. The suggested system makes use of a generator and discriminator model to identify trends in energy usage and generate outputs with optimal energy distribution.
How to Cite this Paper
LikhithaPriya, B. (2026). AI-Based Intelligent Energy Optimization in Smart Microgrids using Generative Adversarial Networks. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.070
LikhithaPriya, B. "AI-Based Intelligent Energy Optimization in Smart Microgrids using Generative Adversarial Networks." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.070.
LikhithaPriya, B. "AI-Based Intelligent Energy Optimization in Smart Microgrids using Generative Adversarial Networks." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.070.
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References
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- •Published on: Apr 06 2026
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