A compact data-engineering project that turns a messy raw sales export into a clean, typed, analysis-ready dataset — Extract → Transform → Load. The pipeline is written as small, reusable, testable ...
Abstract: The rationale for using enhanced Deep Neural Networks (DNNs) in the power distribution system for short-term load forecasting (STLF) originates from a thorough analysis of current trends, ...
Abstract: The intricate mixed-integer constraints in industrial load models not only pose challenges for their direct integration into economic dispatch or market clearing processes but also render ...
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