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Real-time automatic control in a smart energy-hub

Sakthivel R May 28, 2024

This paper proposes a real-time optimal scheduling strategy based on GRL to improve the economy and safety of ADN operations,...

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GCN for UAV coverage control

Sakthivel R May 27, 2024

This paper introduces a novel method for managing UAV groups using graph convolutional multi-agent reinforcement learning (MARL), which reduces energy...

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Multi-energy microgrid through RL

Sakthivel R May 26, 2024

The proposed safe RL technique for MEMG energy management integrates a dynamic security assessment layer to respect physical boundaries, ensuring...

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Proactive Routing Strategy in Smart Power Grids Using GRL

Sakthivel R May 26, 2024

Reference: Islam, M. A., Ismail, M., Atat, R., Boyaci, O., & Shannigrahi, S. (2023). Software-Defined Network-Based Proactive Routing Strategy in...

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Adaptive Dispatch for Renewable Energy

Sakthivel R May 25, 2024

An adaptive active power rolling dispatch approach based on distributed deep reinforcement learning is proposed to address uncertainties in high-proportion...

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Optimal energy management strategies for energy internet

Sakthivel R May 23, 2024

This paper explores innovative energy management solutions within the Energy Internet using model-free deep reinforcement learning, demonstrating significant advancements through...

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Transient stability preventive control based on GCN and DRL

Sakthivel R May 22, 2024

Reference:  Wang, T., & Tang, Y. (2023). Transient stability preventive control based on graph convolution neural network and transfer deep...

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PV inverter based on VAR control using GRL

Sakthivel R May 22, 2024

Reference:  Yan, R., Xing, Q., & Xu, Y. (2023). Multi agent safe graph reinforcement learning for PV inverter s based...

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Decentralized Volt-VAR control using Multi-agent GRL

Sakthivel R May 21, 2024

MASAC-HGRN, a multi-agent graph-based DRL technique, enhances Volt/Var control under partial observation, outperforming conventional methods and advanced RL algorithms in...

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DRL for Energy optimization in buildings

Sakthivel R May 21, 2024

Distributed Reinforcement Learning (DRL) optimizes energy use across multiple buildings, surpassing other control methods in efficiency, precision, and resilience.

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GRL for inverter-based active voltage control

Sakthivel R May 20, 2024

This paper introduces a decentralized multi-agent approach, utilizing the Dec-POMDP framework, to minimize voltage deviation and network loss in active...

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GRL for user preference- energy sharing systems

Sakthivel R May 20, 2024

Advanced Energy Sharing System (ESS) that significantly improves efficiency and energy transfer by incorporating customer preferences and employing novel heuristics.

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GRL for line flow control

Sakthivel R May 19, 2024

This research presents a semi-distributed learning strategy combining a GCN and DRL for generation units to adjust bids and handle...

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GRL for service restoration

Sakthivel R May 19, 2024

In this paper, a multi-agent graph reinforcement learning strategy utilizing attention mechanisms is proposed for service restoration, which is modeled...

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Resource management in dense cellular network using GRL

Sakthivel R May 14, 2024

The blog proposes using MARL with GAT in DRL to tackle NS challenges in dense cellular networks. This approach manages...

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PV-Rich Networks: Voltage Management Boosting

Sakthivel R May 14, 2024

Voltage violations in active distribution networks, driven by distributed photovoltaic systems, pose challenges. An innovative edge intelligence approach integrating GAN...

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GCRL for Advanced Energy-Aware Process Planning

Sakthivel R May 12, 2024

Reference: Xiao, Q., Niu, B., Xue, B., & Hu, L. (2022). Graph convolutional reinforcement learning for advanced energy-aware process planning. IEEE...

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A GRL for rapid charging stations

Sakthivel R May 12, 2024

The paper addresses the urgent need for eco-friendly transportation amidst rising energy consumption. It introduces a fast charging recommendation algorithm...

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GRL approach for smart building energy and comfort optimization

Sakthivel R May 7, 2024

"Optimizing building energy usage is crucial due to its environmental impact. Authors propose leveraging information technology and real-time occupancy sensors...

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Power Optimization using DRL for the Energy Internet

Sakthivel R May 5, 2024

Reference: Xu, S., & Guo, S. (2024). Distributed Reactive Power Optimization for Energy Internet via Multiagent Deep Reinforcement Learning With...

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