brain2grid


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    • Research Areas

    • Carbon Reduction
    • CI Hardware Implementations
    • Cyber-Physical Power and Energy Systems
    • Neural Networks»
      • Architectures»
        • BIANNs
        • CNNs
        • ESNs
        • SRNs
      • Training Algorithms»
        • PSO-QI
      • Training Methods»
        • Two-Step Learning Process
    • Optimization Algorithms
    • Plug-in Vehicles»
      • Power System Stability
      • Profit Maximization
      • Unit Commitment
      • Vehicle-to-Grid (V2G)
    • Renewable Energy»
      • Integration
      • Prediction/Forecasting
      • Wide Area Control
      • Wide Area Monitoring
    • Situational Intelligence
    • Smart Grid
    • Wide Area Monitoring and Control

  • Featured Projects

    Impact of Plug-in Vehicles on Power System Stability
    Modeling and Grid Integration of Large Dish‐Stirling Solar Farm
    Gridable (Plug-in) Vehicles – Smart Grid Integration

    DSOPF Control for Power Systems with High Variability
    Computation with Action Potential Delay Dynamics
    Emergent Intelligence in Cellular Neural Networks

    Reservoir-Computing-Based, Biologically-Inspired Artificial Neural Network (BIANN) for Online Modeling of a Single Machine Infinite Bus (SMIB) System
    Computation Using Latency Dynamics in Living and Artificial Neural Networks
    Communicating with Living Neuronal Networks on Microelectrode Arrays for Computation and Control

    Modeling and Intelligent Control for an Electric Power Micro-Grid
    Scalable Integrated Situational Awareness System for Smart Grid
    Damping Electromechanical Oscillations in Large-Scale Power Systems Using Intelligent Aggregated Control

    Dynamic Stochastic Optimal Power Flow Control for Smart Grids
    Dynamic Performance Model for Wind Turbine Generators
    Scalable Monitoring and DSOPF Control for Smart Grids

    View All Featured Projects

  • Fourth Annual Workshop

    • workshop photos workshop photos
    • Workshop Photos
    • Detailed Workshop Program
    • Download Program PDF

  • EFRI Representative Visit


Real-Time Power and Intelligent Systems Laboratory
303 Riggs Hall, Clemson University
Clemson, SC 29634-0915, USA
Tel. No. 864-656-5936, Fax No. 864-656-1347
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