Semantic prediction assistant approach applied to energy efficiency in Tertiary buildings

@article{EsnaolaGonzalez2018SemanticPA,
  title={Semantic prediction assistant approach applied to energy efficiency in Tertiary buildings},
  author={Iker Esnaola-Gonzalez and Jes{\'u}s Berm{\'u}dez and Izaskun Fern{\'a}ndez and Aitor Arnaiz},
  journal={Semantic Web},
  year={2018},
  volume={9},
  pages={735-762}
}
Fulfilling occupants’ comfort whilst reducing energy consumption is still an unsolved problem in most of tertiary buildings. However, the expansion of the Internet of Things (IoT) and Knowledge Discovery in Databases (KDD) techniques lead to research this matter. In this paper the EEPSA (Energy Efficiency Prediction Semantic Assistant) process is presented, which leverages the Semantic Web Technologies (SWT) to enhance the KDD process for achieving energy efficiency in tertiary buildings while… 

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