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Data-centric predictive control with tuna swarm optimization-backpropagation neural networks for enhanced wind turbine performance

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  • Li, Wei
  • Pandit, Ravi Kumar

Abstract

Wind energy is a significant renewable resource, but its efficient harnessing requires advanced control systems. This study presents a Data-Centric Predictive Control (DPC) system, enhanced by a Tuna Swarm Optimization-Backpropagation Neural Network (TSO-BPNN) for predictive wind turbine control. It's like a smart tool that uses innovative fusion of deep learning, predictive Control, and reinforcement learning. Unlike traditional control methods, the proposed approach uses real-time data to optimize turbine performance in response to fluctuating wind conditions.

Suggested Citation

  • Li, Wei & Pandit, Ravi Kumar, 2024. "Data-centric predictive control with tuna swarm optimization-backpropagation neural networks for enhanced wind turbine performance," Renewable Energy, Elsevier, vol. 237(PC).
    • Handle: RePEc:eee:renene:v:237:y:2024:i:pc:s0960148124018895
    DOI: 10.1016/j.renene.2024.121821
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    References listed on IDEAS

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