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ugoorji12/README.md
  • 👋 Hi, I’m Ugochukwu Orji. A PhD Researcher working on Application of AI for Energy Systems.
  • 👀 I’m interested in Spatio-temporal models (Graph Neural Networks) and Uncertainty Quantification methods for Energy related projects.
  • 💞️ I’m looking to collaborate on grid- & uncertainty-aware models for Energy systems.

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  1. Regime-aware-Probabilistic-Residual-Load-Forecasting Regime-aware-Probabilistic-Residual-Load-Forecasting Public

    Grid-Aware Probabilistic Residual Load Forecasting with Regime-Aware Conformal Calibration

    Python

  2. GAT-LSTM-MCQR-Probabilistic-Load-Model GAT-LSTM-MCQR-Probabilistic-Load-Model Public

    Grid and uncertainty-aware load forecasting model for the Brazilian Energy system

    Python

  3. Probabilistic-Residual-Load-Model Probabilistic-Residual-Load-Model Public

    Residual-based probabilistic load forecasting model for ENTSO-E case study.

    Python 2

  4. Grid-Aware_STGNN_for_Multi-Horizon_Load_Forecasting Grid-Aware_STGNN_for_Multi-Horizon_Load_Forecasting Public

    Grid-Aware STGNN for Multi-horizon Power Load Forecasting

    Python 8 2

  5. Load-Forecasting-using-GAT-LSTM Load-Forecasting-using-GAT-LSTM Public

    This repository implements the GAT-LSTM model, which combines Graph Attention Networks (GAT) and Long Short-Term Memory Networks (LSTM) for hourly power load forecasts. It leverages spatio-temporal…

    Python 32 4