Feasibility of UTS Smart Home to Support Sustainable Development Goals of United Nations (UN SDGs): Water and Energy Conservation
, Huong-Yong Ting 2, Yun-Seng Lim 3, Jackie-Tiew-Wei Ting 2, Marcella Peter 2, Khairunnisa Ibrahim 2 and Pau Loke Show 4Round 1
Reviewer 1 Report
The authors present the details of smart home prototype/live lab with the focus of energy and water sustainability. The proposed smart home architecture and IoT system design were also discussed in the paper.
Comments:
1. It is more appropriate for the discussion of "Smart Energy Management System" and "Smart Water Management" (4.1.1. and 4.2.1) to be moved to "Section 3-Materials and Methods" in order to give overall understanding of the system setup. The results collected from both system can remain to be presented in "Section 4-Results and Discussions".
2. AI/ML algorithms are repeatedly mentioned in the manuscript. However, there are minimal details on the AI/ML algorithms implementation. It is suggested that some discussions on how the AI/ML algorithms contribute in making decision in improving the energy and water efficiency to be included.
3. It is mentioned that NILM Smart Meter is able to capture voltage, current and power factor. In order to capture the power factor, real time voltage reading is required. It is suggested that more elaboration to be provided on how the voltage is obtained using the non-invasive method.
4. Suggestion to add more information in the Conclusions section which discuss about the authors' hypothesis or findings on how the implementation of IoT devices contributes to the conservation of energy and water resources.
Author Response
Please see the attachment.
Author Response File: 
Author Response.pdf
Reviewer 2 Report
The paper is of interest but I have a few comments to make:
1. Although the number of references is big, there are not so many papers published within the last 2 years. Something that should be improved in order the up-to-date literature to be considered.
2. There is no direct comparison with other similar publications to understand what are the improvements here.
3. What's the contribution, what is new here? What can be considered as innovative?
4. The NILM part that works on 5-min intervals does not look really promissing. What can be achieved with 5-min data? Is that resolution enough? Normally I would expect something like 1-sec or sub-sec resolution, as also mentioned here: Athanasiadis, Christos L., Theofilos A. Papadopoulos, and Dimitrios I. Doukas. "Real-time non-intrusive load monitoring: A light-weight and scalable approach." Energy and Buildings 253 (2021): 111523. Otherwise, you can simply rely on smart meter data that are typically of 15-30 min resolution.
Author Response
Please see the attachment.
Author Response File: Author Response.pdf
Round 2
Reviewer 2 Report
no further comments
