Energy_Project/ │ ├── app/ │ └── streamlit_app.py # Main dashboard application │ ├── config/ │ └── config.yaml # Configuration parameters │ ├── data/ │ └── raw/ │ ├── smart_grid_dataset.csv ...
[!NOTE] Requirements: Python 3.10 is the tested version. CI/CD pipeline runs on CPU-only. GPU is optional for LSTM. pip install -r requirements.txt Verify ...
Regression models like XGBoost or LightGBM can predict upcoming KPI values using features like current RSSI, CQI, time-of-day, and network alarms. 2.3 LSTM Networks for Deep Forecasting Long ...
Abstract: Traffic flow prediction is an important task that can directly impact the control of traffic flow positively and improve the overall traffic throughput. Although a large number of studies ...
As renewable penetration deepens and grid operating conditions grow more intricate, load data exhibit significant non-stationarity and multi-scale characteristics, leading to certain limitations in ...
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