Abstract: This paper proposes a short-term load forecasting model combining Seasonal-Trend decomposition using Loess (STL decomposition) and Stacking ensemble learning. The method decomposes power ...
Abstract: Load forecasting is vital for efficient power system management, enabling accurate predictions of future electricity demand. This capability optimizes operations like operational planning ...
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