Smart Grid Optimization
Data preprocessing is the process of transforming raw data into a clean and organized format that is suitable for analysis and machine learning. This essential step helps to ensure the quality and reliability of data, which directly impacts the performance of algorithms used in power systems and smart grid analytics. By addressing issues such as missing values, noise reduction, normalization, and feature selection, data preprocessing plays a crucial role in enabling accurate predictions and insights.
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