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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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A GRL for Dynamic Renewable Energy Dispatch
Sakthivel R May 3, 2024
This study proposes a novel graph reinforcement learning (GRL) algorithm to tackle the challenges of dynamic economic dispatch (DED) in...
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physics assisted GRL for PV voltage regulation
Sakthivel R April 29, 2024
The authors propose a voltage control technique combining surrogate model DRL and a representation network, utilizing a tree topology graph...
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Job scheduling in manufacturing systems using GRL.
Sakthivel R April 28, 2024
This research presents a unique PPO algorithm with Rollback for balancing efficiency and dynamic adaptation in manufacturing systems, combined with...
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Energy Harvesting for Dynamic Computation Offloading using GRL
Sakthivel R April 28, 2024
The author introduces GCN-DDPG for JPORA in MEC with EH. Traditional DDPG struggles with dynamic MEC environments. GCN-DDPG combines DDPG...
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GRL for Sequential Distribution System Restoration Learning
Sakthivel R April 23, 2024
A GRL architecture for distribution service restoration in power systems is presented in this study. It combines a GCN with...
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GCN – Topology embedded DRL for Voltage Stability Control
Sakthivel R April 23, 2024
A GCN-DRL framework for managing topology changes in power system voltage stability control is presented in this research. When compared...
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AN IMAGE IS WORTH 16X16 WORDS: TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE
Pratham Goyal April 19, 2024
AN IMAGE IS WORTH 16X16 WORDS: TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE Reference: Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk...
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Research of spatial context convolutional neural networks for early diagnosis of Alzheimer’s disease
Pratham Goyal April 19, 2024
Research of spatial context convolutional neural networks for early diagnosis of Alzheimer’s disease Reference: Yinsheng Tong, Zuoyong Li, Hui Huang,...