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    July 2024

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    Advancing Substation Demand Forecasting Efficiency with AI/ML-Powered Solutions: A Comparative Exploration of Nonlinear Techniques versus Conventional Methods

    This scholarly work proposes enhancing resource planning efficiency in power substations by leveraging AI and ML-based forecasting. Power substations play...
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    A ML-AI Enabled Ensemble Model for Predicting Agricultural Yield

    Simplistic linear methods for predicting crop yield leave out important factors like climate, rainfall, soil, irrigation, and land characteristics. Recent...
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