ABSTRACT: Load forecasting plays a crucial role in the efficient management and planning of electricity distribution in smart grids. Machine learning algorithms have shown promising results in load forecasting, enabling accurate predictions and aiding decision-making processes. This paper presents a comprehensive performance comparison of various machine learning algorithms for load forecasting in smart grids...
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DOI:
10.17148/IJARCCE.2023.125239
