book.bib

@article{jia_eplusr_2021,
	title = {eplusr: {A} framework for integrating building energy simulation and data-driven analytics},
	volume = {237},
	copyright = {All rights reserved},
	issn = {03787788},
	shorttitle = {eplusr},
	url = {https://linkinghub.elsevier.com/retrieve/pii/S0378778821000414},
	doi = {10.1016/j.enbuild.2021.110757},
	language = {en},
	urldate = {2021-04-12},
	journal = {Energy and Buildings},
	author = {Jia, Hongyuan and Chong, Adrian},
	month = apr,
	year = {2021},
	pages = {110757},
}

@misc{noauthor_energyplus_nodate,
	title = {{EnergyPlus}},
	url = {https://www.energy.gov/eere/buildings/downloads/energyplus-0},
	abstract = {EnergyPlus is DOE's open-source state-of-the-art whole building energy simulation engine.},
	language = {en},
	urldate = {2021-05-11},
	journal = {Energy.gov},
}

@misc{noauthor_best_nodate,
	title = {Best {Directory} {\textbar} {Building} {Energy} {Software} {Tools}},
	url = {https://www.buildingenergysoftwaretools.com/},
	urldate = {2021-05-11},
}

@article{wickham_tidy_2014,
	title = {Tidy {Data}},
	volume = {59},
	issn = {1548-7660},
	url = {http://www.jstatsoft.org/v59/i10/},
	doi = {10.18637/jss.v059.i10},
	language = {en},
	number = {10},
	urldate = {2021-06-23},
	journal = {Journal of Statistical Software},
	author = {Wickham, Hadley},
	year = {2014},
	file = {Full Text:/Users/adrianchong/Zotero/storage/W59T35KH/Wickham - 2014 - Tidy Data.pdf:application/pdf},
}

@incollection{wilkinson_grammar_2012,
	title = {The grammar of graphics},
	booktitle = {Handbook of computational statistics},
	publisher = {Springer},
	author = {Wilkinson, Leland},
	year = {2012},
	pages = {375--414},
}

@article{deru_us_2011,
	title = {{US} {Department} of {Energy} commercial reference building models of the national building stock},
	author = {Deru, Michael and Field, Kristin and Studer, Daniel and Benne, Kyle and Griffith, Brent and Torcellini, Paul and Liu, Bing and Halverson, Mark and Winiarski, Dave and Rosenberg, Michael},
	year = {2011},
	note = {Publisher: National Renewable Energy Laboratory},
	file = {Snapshot:/Users/adrianchong/Zotero/storage/LR2TS4YA/44.html:text/html;Full Text:/Users/adrianchong/Zotero/storage/CF2P3C58/Deru et al. - 2011 - US Department of Energy commercial reference build.pdf:application/pdf},
}

@book{wickham_r_2016,
	address = {Sebastopol, CA},
	edition = {First edition},
	title = {R for data science: import, tidy, transform, visualize, and model data},
	isbn = {978-1-4919-1039-9 978-1-4919-1036-8},
	shorttitle = {R for data science},
	abstract = {"This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience"--},
	publisher = {O'Reilly},
	author = {Wickham, Hadley and Grolemund, Garrett},
	year = {2016},
	note = {OCLC: ocn968213225},
	keywords = {Big data, Computer programs, Data mining, Databases, Electronic data processing, Information visualization, R (Computer program language), Statistics},
	annote = {Part I. Explore. Data visualization with ggplot2 -- Workflow: basics -- Data transformation with dplyr -- Workflow: scripts -- Exploratory data analysis -- Workflow: projects -- Part II. Wrangle. Tibbles with tibble -- Data import with readr --Tidy data with tidyr -- Relational data with dplyr -- Strings with stringr -- Factors with forcats -- Dates and times with lubridate -- Part III. Program. Pipes with magrittr -- Functions -- Vectors -- Iteration with purrr -- Part IV. Model. Model basics with modelr -- Model building -- Many models with purrr and broom -- Part V. Communicate. R Markdown -- Graphics for communication with ggplot2 -- R Markdown formats -- R Markdown workflow},
}

@book{chang_r_2018,
	address = {Beijing ; Boston},
	edition = {Second edition},
	title = {R graphics cookbook: practical recipes for visualizing data},
	isbn = {978-1-4919-7860-3},
	shorttitle = {R graphics cookbook},
	publisher = {O'Reilly},
	author = {Chang, Winston},
	year = {2018},
	note = {OCLC: on1076544092},
	keywords = {R (Computer program language), Computer graphics, Computer Graphics, Data processing, Informatique Manuels d'enseignement supérieur, Manuels d'enseignement supérieur, Mathematical Computing, Mathematical statistics, R (logiciel), Software, statistics \& numerical data, Statistics as Topic, Statistique},
	annote = {Includes index},
	annote = {R basics -- Quickly exploring data -- Bar graphs -- Line graphs -- Scatter plots -- Summarized data distributions -- Annotations -- Axes -- Controlling the overall appearance of graphs -- Legends -- Facets -- Using colors in plots -- Miscellaneous graphs -- Output for presentation -- Getting your data into shape -- Appendix: Understanding ggplot2},
}

@misc{ashrae_ashrae_2014,
	title = {{ASHRAE} {Guideline} 14-2014 {Measurement} of energy, demand, and water savings},
	publisher = {ASHRAE},
	author = {ASHRAE},
	year = {2014},
}

@book{healy_data_2018,
	title = {Data visualization: a practical introduction},
	shorttitle = {Data visualization},
	publisher = {Princeton University Press},
	author = {Healy, Kieran},
	year = {2018},
	file = {Full Text:/Users/adrianchong/Zotero/storage/PCLJF53B/Healy - 2018 - Data visualization a practical introduction.pdf:application/pdf;Snapshot:/Users/adrianchong/Zotero/storage/BCP5HB9B/books.html:text/html},
}