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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References

SHOWING 1-10 OF 88 REFERENCES

Created in Close Interaction with the Industry: The Smart Appliances REFerence (SAREF) Ontology

TLDR
SAREF, the Smart Appliance REFerence ontology, is presented and the experience in creating this ontology in close interaction with the industry is described, pointing out the lessons learned and identifying topics for follow-up actions.

PowerOnt: An Ontology-Based Approach for Power Consumption Estimation in Smart Homes

TLDR
Results show that the modeling approach has the potential to support energy efficiency measures into residential homes with few or no metering devices, and some application use cases where the proposed approach may successfully be exploited.

Predicting Severity of Road Traffic Congestion Using Semantic Web Technologies

TLDR
A system which integrates numerous sensors (exposing heterogenous, exogenous and raw data streams such as weather information, road works, city events or incidents) to improve accuracy and consistency of traffic congestion prediction is presented.

An intelligent agent based approach for energy management in commercial buildings

TLDR
This paper presents a novel agent based system entitled intelligent control of energy (ICE) for energy management in commercial buildings and shows how the use of ICE will allow significant energy cost savings, while still maintaining customer-defined comfort levels.

DogOnt - Ontology Modeling for Intelligent Domotic Environments

TLDR
A new house modeling ontology designed to fit real world domotic system capabilities and to support interoperation between currently available and future solutions is proposed.

LOV4IoT: A Second Life for Ontology-Based Domain Knowledge to Build Semantic Web of Things Applications

TLDR
The Machine-to-Machine Measurement (M3) framework is proposed, available online, to rapidly design and develop semantic-based cross-domain IoT applications by reusing as much as possible the domain knowledge (ontologies, datasets and rules).

An Autonomic Approach to Real-Time Predictive Analytics Using Open Data and Internet of Things

  • Wassim DerguechEanna BurkeE. Curry
  • Computer Science
    2014 IEEE 11th Intl Conf on Ubiquitous Intelligence and Computing and 2014 IEEE 11th Intl Conf on Autonomic and Trusted Computing and 2014 IEEE 14th Intl Conf on Scalable Computing and Communications and Its Associated Workshops
  • 2014
TLDR
This case study is the prediction of energy usage of a building using open data and IoT and a two-step solution is proposed: data management: collection, filtering and warehousing and data analytics: source selection and prediction.

Towards Energy Efficiency: Forecasting Indoor Temperature via Multivariate Analysis

TLDR
Experimental results of a forecasting system based on artificial neural networks for indoor temperature forecasting show a high forecasting accuracy and therefore, they might be used to efficiently control an HVAC system.
...