To ensure the rapidity, accuracy, and efficiency of load prediction in a microgrid system, deep learning is introduced into microgrid load prediction, and we propose a method for the short-term load prediction of a microgrid system based on multivariable and. To ensure the rapidity, accuracy, and efficiency of load prediction in a microgrid system, deep learning is introduced into microgrid load prediction, and we propose a method for the short-term load prediction of a microgrid system based on multivariable and. The accuracy of short-term load forecasting in microgrids is crucial for their safe and economic operation. Microgrids have higher unpredictability than large power grids, making it more challenging to accurately predict short-term loads. To address this challenge, a novel approach that combines. Short-Term Load Forecasting (STLF) is the most appropriate type of forecasting for both electricity consumers and generators. In this paper, STLF in a Microgrid (MG) is performed via the hybrid applications of machine learning.
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