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.
Optimizing renewable energy systems through artificial intelligence: Review and future prospects, Energy & Environment 2024, 35 (7), 3833--3879
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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.