Review of Smart Microgrid Platform Integrating AI and Deep
This paper synthesizes recent advancements and applications of DRL algorithms such as Deep Q-Networks (DQN), Deep Deterministic Policy Gradient (DDPG), and Proximal Policy Optimization
This paper synthesizes recent advancements and applications of DRL algorithms such as Deep Q-Networks (DQN), Deep Deterministic Policy Gradient (DDPG), and Proximal Policy Optimization
This paper presents a review of the microgrid concept, classification and control strategies. Besides, various prospective issues and challenges of microgrid implementation are
This paper presents a systematic literature review encompassing recent advancements in MG technology. It delves into MG architecture, diverse control objectives, associated
Microgrids are part of emerging smart power technologies that support existing power structures that are under increased demand pressures mainly using renewable
This paper discussed the state of smart microgrid technologies, the challenges and opportunities of their integration into urban energy systems, and the possible innovations that would
This paper analyzes a number of cutting-edge innovations in smart grids before offering in-depth analyses of communication standards, technologies, difficulties, and future research
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As our reliance on traditional power grids continues to increase, the risk of blackouts and energy shortages becomes more imminent. However, a microgrid system,
The conventional electrical grid faces significant issues, which this paper aims to address one of most of them using a proposed prototype of a smart microgrid energy management system.
A microgrid, regarded as one of the cornerstones of the future smart grid, uses distributed generations and information technology to create a widely distributed automated energy delivery
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