Analyzing Electricity Consumption Factors of Buildings in Seoul, Korea Using Multiscale Geographically Weighted Regression
Round 1
Reviewer 1 Report
The manuscript entitled "Analyzing Electricity Consumption Factors of Buildings in Seoul, Korea Using Multiscale Geographically Weighted Regression" use the multiscale geographically weighted regression (MGWR) to explore the influence of demographic factors, socioeconomic factors, environmental factors, and building characteristics on the electrical energy consumption of buildings in Seoul, Korea, and proposes recommendations for reducing the consumption of electrical energy in buildings based on the results of the analysis. The article is clearly structured, the influencing factors are comprehensively considered, and the research methodology is informative. However, the following suggestions are made to the authors for improving their work:
- In the introduction, the innovation of this study should be presented by the previous studies, and the authors should clarify the research objectives and state the scientific problem in the last paragraph. The authors must highlight the conceptual gaps in the existing studies as well as the main contribution of the present study.
- The justification for the choice of the geographically weighted regression model is not yet sufficient. The introduction only emphasizes the spatial autocorrelation properties of the electrical energy consumption of buildings, which is not yet sufficient to support the advantages of the choice of the geographically weighted regression model. In addition, it is recommended to explain the reasons for the selection of MGWR model in the introduction, how it has advantages over GWR model and what problem it can help to solve.
- Table 1 shows all the influencing factors and their classification and definitions, and it is suggested to add data sources and descriptions. The names of the variables are abbreviated in Table 2, please explain the abbreviations, or replace all the same name of variables. Also, the word "variable" includes both independent and dependent variables, please consider the wording.
- Line232-233 "The value obtained by taking the natural logarithm of the total amount of electrical energy used in a building in each the value obtained by taking the natural logarithm of the total amount of electrical energy used in a building in each administrative dong was used as the dependent variable" should be placed in Section 3 Methodology.
- What is the significance of the descriptive statistics for each variable in 4.1 Descriptive Statistics? How does it contribute to the achievement of the study objectives?
- The authors emphasize that the GWR model is chosen based on the spatial autocorrelation of electrical energy consumption of buildings, but they do not verify the advantages of the GWR model for solving the spatial autocorrelation problem, and it is not comprehensive to evaluate the model only in terms of the goodness of fit.
- The authors introduced in 3.2.2 that the limitation of GWR is that only one fixed bandwidth value of the analyzed model is considered, while the MGWR model, as an extension of GWR, can search out the bandwidth of each variable. However, in results analysis the authors did not use the bandwidth of each variable for the spatial action scale analysis of each variable, and the MGWR model advantage is not reflected in the analysis of the study results.
- The results of the MGWR analysis should be compared with related literature, and the results of the MGWR model should be justified in multiple ways. On the one hand the validity of the MGWR model should be illustrate, and on the other hand, the innovation and characteristics of the research results should be highlighted.
Author Response
Please check the attached file for details.
Reviewer 2 Report
1.Enhance interpretation of MGWR results。
2.Check grammar and spelling.
Author Response
Please check the attached file for details.
Author Response File: 
Author Response.pdf
Reviewer 3 Report
Dear Authors,
The manuscript develops an investigation of interest to the scientific community, however I consider it necessary to introduce some modifications in the following points:
1 - Insert a flow diagram that reflects the research methodology.
2 - Refer to the weight of each of the variables considered in the MGWR.
3 - Discuss the results taking into account the data obtained on the lesser influence of green areas in areas with lower density compared to denser areas and lower concentration, where geographic positioning or solar orientation and exposure to prevailing winds may have a different contribution compared to the energy performance and intensity of the heat island.
4 - Insert, clearly and after the conclusions, the limitations of the study.
Author Response
Please check the attached file for more details
Author Response File: Author Response.pdf
Round 2
Reviewer 1 Report
Thanks for your kind revise, I recommend accept in present form.
Reviewer 3 Report
Dear Authors,
Many thanks for the great improve of your initial text.
I agree with the publish of the paper.
