Master Thesis at Lindinvent

TOPICS:

Microclimate that saves energy, increases productivity and well-being

AI-based support for operational optimization with anomaly detection

Energy and power optimization of smart indoor climate systems using Machine learning and predictions

Evaluation and analysis of different methods of microclimate using small local heat sources and fans.

AI-based anomaly detection with domain knowledge can facilitate the work of identifying incorrect values in complex indoor climate systems.

Machine learning and predictions can reduce power consumption and energy use for already smart control systems by creating a picture of the future.

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