A deep neural network with entropy-selected socioeconomic features predicts residential load patterns after K-means clustering, claiming 80% lower error than benchmarks.
Grouping model application on artificial neural networks for short -term load forecasting
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Leveraging Socioeconomic Information and Deep Learning for Residential Load Pattern Prediction
A deep neural network with entropy-selected socioeconomic features predicts residential load patterns after K-means clustering, claiming 80% lower error than benchmarks.