Context sensitive indoor temperature forecast for energy efficient operation of smart buildings

Abstract

This paper analyzes the potential of knowledge discovery from sensed data, which enables real-time systems monitoring, management, prediction and optimization in smart buildings. State of the art data driven techniques generate predictive short-term indoor temperature models based on real building data collected during daily operation. The most accurate… (More)
DOI: 10.1109/WF-IoT.2015.7389140

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