HIGHLIGHTS
- who: Davide Borda and collaborators from the EURIX, Corso Vittorio Emanuele II, , Turin, Italy Energy Center Initiative, Polytechnic University of Turin, Via Paolo Borsellino, , Turin, Italy have published the article: Development of Anomaly Detectors for HVAC Systems Using Machine Learning, in the : Processes 2023, 535 of /2023/
- what: In this work supervised and semisupervised models were developed. As stated above, this study compared the performance of six variants of a model. The model weights from the epoch with the best value of the monitored quantity (here, validation loss) were used in the final model. The . . .
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