Semantic Prediction Assistant Approach applied to Energy Efficiency in Tertiary Buildings

Submitted by Iker Esnaola-Go... on 10/09/2017 - 05:52

Tracking #: 1735-2947

Authors: 
Iker Esnaola-Gonzalez
Jesús Bermúdez
Izaskun Fernandez
Aitor Arnaiz

Responsible editor: 
Guest Editors ST Built Environment 2017

Submission type: 
Full Paper
Abstract: 
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 maintaining comfort levels. This process guides the data analyst through the different KDD phases in a semiautomatic manner and supports prescriptive HVAC system activation strategies. That is, temperature of a space is predicted simulating the activation of HVAC systems at different times and intensities, so that the facility manager can choose the strategy that best fits both the user’s comfort needs and energy efficiency. Furthermore, results show that the proposed solution improves the accuracy of predictions.
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Semantic Prediction Assistant Approach applied to Energy Efficiency in Tertiary Buildings
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Reviewed

Decision/Status: 
Accept

Solicited Reviews:
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Review #1
By Pieter Pauwels submitted on 06/Dec/2017
Suggestion:
Accept
Review Comment:

This article has improved a lot over the last revision cycle. I don't have any strong remarks. Please revise the following minor textual errors:
- p.1: a set of binding legislations
- p.1: according to the UNEP, consumes
- p.1: for 36% of the CO2 emissions
- p.1: for a future generation
- middle of page 2: a lot of 'could' and 'would' and 'should' -> consider making it more certain
- p.2: much more profitable to an assisted KDD process
- p.9: links to ifcOWL ontology
- p.9: However, hierarchy structure
- p.9: As previously explained, W3C LBD community group
- p.9: knowledge that support
- p.9: as well as the the definition => as well as the definition
- p.9: For instance, the object property eepsa:isAffectedBy relates spaces to climatic variables
- p.10: "actuating devices actuations" => what are they! Can it be written in a more human-friendly manner?
- p.10: "actuation completion instants" => what are they! Can it be written in a more human-friendly manner?
- p.10: you mention a eepsa:DeviceShelter. Very well. But should this not be a bim4eepsa:DeviceShelter, considering that it is actually a product or element that can be found in a building?
- p.11: that supports the data analyst in the data selection phase
- p.13: elicitated -> elicited

Review #2
Anonymous submitted on 09/Jan/2018
Suggestion:
Accept
Review Comment:

The authors have addressed my main concerns within their revisions.

The inclusion of a motivational scenario and a clear statement on the contribution of the paper make it much easier to understand.

In addition, the comments address from other reviews has improved the overall readability of the paper.

I think the paper is now ready for publication.