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Author

Nageswara Rao Pulivarthi

2 papers indexed here

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Open access Sep 2026

SCALABLRESOURCE SCHEDULING FOR VIRTUAL POWER PLANTS USING MULTI-AGENT DEEP Q-NETWORKS FOR OPTIMIZED DISTRIBUTED ENERGY RESOURCE MANAGEMENT

The increasing integration of Distributed Energy Resources (DERs) within modern power systems requires Virtual Power Plants (VPPs) to adopt intelligent, adaptive, and scalable scheduling mechanisms to ensure efficient, reliable, and economically optimal operation. This research proposes a hybrid reinforcement learning–...

Srinivasa Rao Sureddy, Nageswara Rao Pulivarthi · 0 citations
Open access Aug 2026

Frequency Control and Power Efficiency in Virtual Power Plants Using Novel Self-Adaptive Siberian Tiger Optimization for Fractional Order PID Controllers

The increasing integration of renewable energy sources has significantly reduced greenhouse gas emissions and mitigated global warming. However, maintaining stability and efficient power management in Virtual Power Plants (VPPs) under dynamic operating conditions remains a major challenge. This study proposes a Self-Ad...

Srinivasa Rao.Sureddy, Nageswara Rao Pulivarthi · 0 citations

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