Short Paper

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Highlights

• First
• Second
• Third

Introduction

[1] proposed an R package for conducting data-driven analytics with EnergyPlus [2].

The objectives of this paper are to:

1. One
2. Two

Methodology

Overview

Math

Eq. (1) gives the definition.

\[\begin{equation} \bar{X}=\frac{1}{n}\sum_{i=1}^nX_i \tag{1} \end{equation}\]

Results

Fig. 1 gives a scatter plot.

Figure 1: A scatter plot

Table 1 gives a result table.

Table 1: A result table

	mpg	cyl	disp	hp	drat	wt	qsec	vs	am	gear	carb
Mazda RX4	21.0	6	160	110	3.90	2.620	16.46	0	1	4	4
Mazda RX4 Wag	21.0	6	160	110	3.90	2.875	17.02	0	1	4	4
Datsun 710	22.8	4	108	93	3.85	2.320	18.61	1	1	4	1
Hornet 4 Drive	21.4	6	258	110	3.08	3.215	19.44	1	0	3	1
Hornet Sportabout	18.7	8	360	175	3.15	3.440	17.02	0	0	3	2
Valiant	18.1	6	225	105	2.76	3.460	20.22	1	0	3	1

Discussion

Conclusion

Data availability

The research compendium for this article can be found at https://github.com/YouName/RepoName, hosted at GitHub.

CRediT authorship contribution statement

Acknowledgements

This research was supported by …

[1] H. Jia, A. Chong, Eplusr: A framework for integrating building energy simulation and data-driven analytics, Energy and Buildings. 237 (2021) 110757. doi:10.1016/j.enbuild.2021.110757.

[2] D.B. Crawley, L.K. Lawrie, F.C. Winkelmann, W.F. Buhl, Y.J. Huang, C.O. Pedersen, et al., EnergyPlus: Creating a new-generation building energy simulation program, Energy and Buildings. 33 (2001) 319–331. doi:10.1016/s0378-7788(00)00114-6.