IoTivity Cloud-Enabled Platform for Energy Management Applications

Round 1

Reviewer 1 Report

This paper presents an IoT platform for residential energy management applications focusing on interoperability, low cost, technology availability, and scalability. This paper gives a detailed overview of the current advanced technology, describes the design details of the platform and validates its functionality and performance.

What is the full name of HEMS in line 12? I would recommend the authors define it when appears at the first time. This article will be studied by people in different professional fields, so professional terms need to be described in detail.

Minor errors: section 3.2.3 and 3.2.4 have the same title, please modify it

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

The subject of this paper is of interest and timely. The authors are invited to address the following concerns before final publication:

1. All the abbreviations should be defined at the first point. for example, HEMS in the abstract is not defined. please check the whole text from this point. there are some undefined acronyms in the text. Also, you may provide a table of acronyms.
2. Please proofread the manuscript. There are some typos.
3. in HEMS, sensor data plays a key role in estimating the energy consumption of households. Machine learning algorithms, e.g. grey boxes, are useful tools in this way. could you please make some statements about this issue in the body text of the manuscript?
4. for a significant number of buildings, the sensor data are normally stored in a data lake to be used by different service provides, e.g. demand response aggregators. is it possible to describe the role of data lakes in the suggested IoT platform?
5. based on the simulation result, the suggested platform unlocks the flexibility of household appliances to provide peak-shaving and/or valley filling. could you please point out the amount of peak-shaving in percentage in the last line of the abstract? it will highlight your experimental result for readers.
6. in the conclusion section, please address two concerns: (1) highlight the key results of the simulation, preferably in the percentage of peak shaving and demand management (2) describe the practical limitations and challenges for further researches. 

Author Response

Please see the attachment.

Author Response File: Author Response.pdf