Tag: #greenfuture

  • An Implemented Streamlit Crop Prediction App

    An Implemented Streamlit Crop Prediction App

    Precision agriculture or smart farming: We implement the Streamlit crop prediction app. This is an ML-driven app that requires the trained model as input.

  • Wind Farm AEP Optimization in SciPy – Horns Rev 1 Site

    Wind Farm AEP Optimization in SciPy – Horns Rev 1 Site

    The post outlined the process of optimizing the Annual Energy Production (AEP) of the Horns Rev 1 wind farm using the SciPy algorithm. The results derived from SciPy were cross-validated using other optimizers such as Optuna and PyWake. The study iterates the importance of offshore wind farms in meeting Denmark’s goals of increased electricity generation.

  • ML/AI GHG Monitoring and Forecast

    The graphs show monthly mean carbon dioxide measured at Mauna Loa Observatory, Hawaii. We extract some insights about the historical data and its statistical properties using the scikit-learn ML/AI Python library. We discovered that atmospheric CO2 concentration is expected to increase in future, highlighting the fact that emissions must be reduced, to ensure the prosperity…