Time-Series Forecasting of Energy Consumption Using LSTM Networks for Optimized Microgrid Management
Abstract: Accurate energy consumption forecasting is crucial for the efficient management of microgrids, especially as renewable energy sources become increasingly integrated into power systems. In ...
. ├── timeseries_interpretation_lime_shap.ipynb # Main annotated notebook ├── Data/ │ └── AirPassengers.csv # Source dataset ├── Figures/ │ ├── Figure_1.png # Forecast comparison │ ├── Figure_2.png # ...
Abstract: This paper proposes a short-term photovoltaic power forecasting method based on a Genetic Algorithm-Random Forest (GRF)-LSTM-XGBoost hybrid model, aimed at improving accuracy by addressing ...
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