LightGBM outperforms LSTM and attention-LSTM for predicting mid-tank temperature in six Swedish heat-pump households, but the reported iForest shower-detection F1 score is not substantiated in the body.
Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review, Renewable and Sustainable Energy Reviews 2020, 130, 109899
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Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems
LightGBM outperforms LSTM and attention-LSTM for predicting mid-tank temperature in six Swedish heat-pump households, but the reported iForest shower-detection F1 score is not substantiated in the body.