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
[1] Miss. Vaishali M. Vaidya, Harshit K. Mundra, Laxmi M. There, Sandhya Bachar,Ashish B. Deharkar, Mr. Neehal B. Jiwane, "A Performance Comparison of Machine Learning Algorithms for Load Forecasting in Smart Grid," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2023.125239
