The dataset provided comprises information extracted from the PDB. It is specifically curated and designed for applications in load forecasting, a field focused on predicting future demand or consumption patterns. This dataset likely includes structured data that could be utilized by analysts, researchers, or data scientists to develop predictive models and strategies aimed at accurately forecasting loads, particularly in domains such as energy, utilities, or resource management.
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SayamAlt/PDB-Electric-Power-Load-Forecasting-using-LSTM
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Successfully developed an LSTM model to forecast electric power load using PyTorch based on historical PDB electric power load data.
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