bibliography.bib

  ##############
  # R packages

  @Manual{baseR,
    title = {R: A Language and Environment for Statistical Computing},
    author = {{R Core Team}},
    organization = {R Foundation for Statistical Computing},
    address = {Vienna, Austria},
    year = {2016},
    url = {https://www.R-project.org/},
  }
@Book{bookdown,
    title = {bookdown: Authoring Books and Technical Documents with {R} Markdown},
    author = {Yihui Xie},
    publisher = {Chapman and Hall/CRC},
    address = {Boca Raton, Florida},
    year = {2016},
    note = {ISBN 978-1138700109},
    url = {https://github.com/rstudio/bookdown},
  }
  @Manual{broom,
    title = {broom: Convert Statistical Analysis Objects into Tidy Data Frames},
    author = {David Robinson},
    year = {2016},
    note = {R package version 0.4.1},
    url = {https://CRAN.R-project.org/package=broom},
  }
  @Book{car,
    title = {An {R} Companion to Applied Regression},
    edition = {Second},
    author = {John Fox and Sanford Weisberg},
    year = {2011},
    publisher = {Sage},
    address = {Thousand Oaks {CA}},
    url = {http://socserv.socsci.mcmaster.ca/jfox/Books/Companion},
  }

  @Manual{data.table,
    title = {data.table: Extension of Data.frame},
    author = {M Dowle and A Srinivasan and T Short and S Lianoglou with contributions from R Saporta and E Antonyan},
    year = {2015},
    note = {R package version 1.9.6},
    url = {https://CRAN.R-project.org/package=data.table},
  }
 @Manual{dkUtils,
    title = {dkUtils: A bunch of useful little functions},
    author = {Ben Anderson},
    year = {2018},
    note = {R package version 0.1recurring},
    url = {https://github.com/dataknut/dkUtils},
  }
  @Manual{doBy,
    title = {doBy: Groupwise Statistics, LSmeans, Linear Contrasts, Utilities},
    author = {Søren Højsgaard and Ulrich Halekoh},
    year = {2016},
    note = {R package version 4.5-15},
    url = {https://CRAN.R-project.org/package=doBy},
  }

  @Manual{dplyr,
    title = {dplyr: A Grammar of Data Manipulation},
    author = {Hadley Wickham and Romain Francois},
    year = {2016},
    note = {R package version 0.5.0},
    url = {https://CRAN.R-project.org/package=dplyr},
  }
  
@Manual{drake,
    title = {drake: A Pipeline Toolkit for Reproducible Computation at Scale},
    author = {William Michael Landau},
    year = {2019},
    note = {R package version 7.1.0},
    url = {https://CRAN.R-project.org/package=drake},
  }
  
  @Manual{dtplyr,
    title = {dtplyr: Data Table Back-End for 'dplyr'},
    author = {Hadley Wickham},
    year = {2016},
    note = {R package version 0.0.1},
    url = {https://CRAN.R-project.org/package=dtplyr},
  }

  @Manual{fgarch,
    title = {fGarch: Rmetrics - Autoregressive Conditional Heteroskedastic Modelling},
    author = {Diethelm Wuertz and Yohan Chalabi with contribution from Michal Miklovic and Chris Boudt and Pierre Chausse and {others}},
    year = {2016},
    note = {R package version 3010.82.1},
    url = {https://CRAN.R-project.org/package=fGarch},
  }

  @Manual{foreign,
    title = {foreign: Read Data Stored by Minitab, S, SAS, SPSS, Stata, Systat, Weka, dBase, ...},
    author = {{R Core Team}},
    year = {2015},
    note = {R package version 0.8-66},
    url = {https://CRAN.R-project.org/package=foreign},
  }

  @Book{fox_car,
    title = {An {R} Companion to Applied Regression},
    edition = {Second},
    author = {John Fox and Sanford Weisberg},
    year = {2011},
    publisher = {Sage},
    address = {Thousand Oaks {CA}},
    url = {http://socserv.socsci.mcmaster.ca/jfox/Books/Companion},
  }

  @Manual{gdata,
    title = {gdata: Various R Programming Tools for Data Manipulation},
    author = {Gregory R. Warnes and Ben Bolker and Gregor Gorjanc and Gabor Grothendieck and Ales Korosec and Thomas Lumley and Don MacQueen and Arni Magnusson and Jim Rogers and {others}},
    year = {2015},
    note = {R package version 2.17.0},
    url = {https://CRAN.R-project.org/package=gdata},
  }
  @Manual{ggjoy,
    title = {ggjoy: Joyplots in ggplot2},
    author = {Claus O. Wilke},
    year = {2017},
    note = {R package version 0.1},
    url = {https://github.com/clauswilke/ggjoy},
  }
   @Book{ggplot2,
    author = {Hadley Wickham},
    title = {ggplot2: Elegant Graphics for Data Analysis},
    publisher = {Springer-Verlag New York},
    year = {2009},
    isbn = {978-0-387-98140-6},
    url = {http://ggplot2.org},
  }
  @Article{ggmap,
    author = {David Kahle and Hadley Wickham},
    title = {ggmap: Spatial Visualization with ggplot2},
    journal = {The R Journal},
    year = {2013},
    volume = {5},
    number = {1},
    pages = {144--161},
    url = {http://journal.r-project.org/archive/2013-1/kahle-wickham.pdf},
  }
  @Manual{GREENGridData,
    title = {GREENGridData: Processing NZ GREEN Grid project data to create a 'safe' version for data archiving and re-use},
    author = {Ben Anderson and David Eyers},
    year = {2018},
    note = {R package version 1.0},
    url = {https://github.com/CfSOtago/GREENGridData},
  }
  @Manual{gridExtra,
    title = {gridExtra: Miscellaneous Functions for "Grid" Graphics},
    author = {Baptiste Auguie},
    year = {2016},
    note = {R package version 2.2.1},
    url = {https://CRAN.R-project.org/package=gridExtra},
  }
  @Manual{here,
    title = {here: A Simpler Way to Find Your Files},
    author = {Kirill Müller},
    year = {2017},
    note = {R package version 0.1},
    url = {https://CRAN.R-project.org/package=here},
  }
  @Manual{Hmisc,
    title = {Hmisc: Harrell Miscellaneous},
    author = {Frank E {Harrell Jr} and with contributions from Charles Dupont and many others.},
    year = {2016},
    note = {R package version 3.17-4},
    url = {https://CRAN.R-project.org/package=Hmisc},
  }
  @Manual{hms,
    title = {hms: Pretty Time of Day},
    author = {Kirill Müller},
    year = {2018},
    note = {R package version 0.4.2},
    url = {https://CRAN.R-project.org/package=hms},
  }
  @Manual{ipfp,
    title = {ipfp: Fast Implementation of the Iterative Proportional Fitting
Procedure in C},
    author = {Alexander W Blocker},
    year = {2016},
    note = {R package version 1.0.1},
    url = {https://CRAN.R-project.org/package=ipfp},
  }
   @Manual{kableExtra,
    title = {kableExtra: Construct Complex Table with 'kable' and Pipe Syntax},
    author = {Hao Zhu},
    year = {2018},
    note = {R package version 0.8.0},
    url = {https://CRAN.R-project.org/package=kableExtra},
  }
  @Manual{knitr,
    title = {knitr: A General-Purpose Package for Dynamic Report Generation in R},
    author = {Yihui Xie},
    year = {2016},
    url = {https://CRAN.R-project.org/package=knitr},
  }
  @Article{lmtest,
    title = {Diagnostic Checking in Regression Relationships},
    author = {Achim Zeileis and Torsten Hothorn},
    journal = {R News},
    year = {2002},
    volume = {2},
    number = {3},
    pages = {7--10},
    url = {https://CRAN.R-project.org/doc/Rnews/},
  }
   @Article{lubridate,
    title = {Dates and Times Made Easy with {lubridate}},
    author = {Garrett Grolemund and Hadley Wickham},
    journal = {Journal of Statistical Software},
    year = {2011},
    volume = {40},
    number = {3},
    pages = {1--25},
    url = {http://www.jstatsoft.org/v40/i03/},
  }
  @Manual{mapproj,
    title = {mapproj: Map Projections},
    author = {Doug McIlroy. Packaged for R by Ray Brownrigg and Thomas P Minka and transition to Plan 9 codebase by Roger Bivand.},
    year = {2015},
    note = {R package version 1.2-4},
    url = {https://CRAN.R-project.org/package=mapproj},
  }
@Manual{maps,
    title = {maps: Draw Geographical Maps},
    author = {Original S code by Richard A. Becker and Allan R. Wilks. R version by Ray Brownrigg. Enhancements by Thomas P Minka and Alex Deckmyn.},
    year = {2018},
    note = {R package version 3.3.0},
    url = {https://CRAN.R-project.org/package=maps},
  }
  @Manual{maptools,
    title = {maptools: Tools for Reading and Handling Spatial Objects},
    author = {Roger Bivand and Nicholas Lewin-Koh},
    year = {2016},
    note = {R package version 0.8-39},
    url = {https://CRAN.R-project.org/package=maptools},
  }
  @Manual{nomisr,
    title = {{nomisr}: Access Nomis UK Labour Market Data With R},
    author = {Evan Odell},
    year = {2018},
    note = {R package version 0.2.0},
    doi = {10.5281/zenodo.1157908},
    url = {https://github.com/ropensci/nomisr},
  }
  @Article{mefa,
    title = {Processing Ecological Data in {R} with the {mefa} Package},
    author = {P\'eter S\'olymos},
    journal = {Journal of Statistical Software},
    year = {2009},
    volume = {29},
    number = {8},
    pages = {1--28},
    url = {http://www.jstatsoft.org/v29/i08/},
  }
   @Manual{openssl,
    title = {openssl: Toolkit for Encryption, Signatures and Certificates Based on
OpenSSL},
    author = {Jeroen Ooms},
    year = {2018},
    note = {R package version 1.0.2},
    url = {https://CRAN.R-project.org/package=openssl},
  }
    @Article{plm,
    title = {Panel Data Econometrics in {R}: The {plm} Package},
    author = {Yves Croissant and Giovanni Millo},
    journal = {Journal of Statistical Software},
    year = {2008},
    volume = {27},
    number = {2},
    url = {http://www.jstatsoft.org/v27/i02/},
  }
  @Manual{plotly,
    title = {plotly: Create Interactive Web Graphics via 'plotly.js'},
    author = {Carson Sievert and Chris Parmer and Toby Hocking and Scott Chamberlain and Karthik Ram and Marianne Corvellec and Pedro Despouy},
    year = {2016},
    note = {R package version 4.5.6},
    url = {https://CRAN.R-project.org/package=plotly},
  }
  @Article{plyr,
    title = {The Split-Apply-Combine Strategy for Data Analysis},
    author = {Hadley Wickham},
    journal = {Journal of Statistical Software},
    year = {2011},
    volume = {40},
    number = {1},
    pages = {1--29},
    url = {http://www.jstatsoft.org/v40/i01/},
  }
  @Manual{progress,
    title = {progress: Terminal Progress Bars},
    author = {Gábor Csárdi and Rich FitzJohn},
    year = {2016},
    note = {R package version 1.1.2},
    url = {https://CRAN.R-project.org/package=progress},
  }
    @Manual{pwr,
    title = {pwr: Basic Functions for Power Analysis},
    author = {Stephane Champely},
    year = {2018},
    note = {R package version 1.2-2},
    url = {https://CRAN.R-project.org/package=pwr},
  }
  @Manual{readr,
    title = {readr: Read Tabular Data},
    author = {Hadley Wickham and Jim Hester and Romain Francois},
    year = {2016},
    note = {R package version 1.0.0},
    url = {https://CRAN.R-project.org/package=readr},
  }
  @Manual{readxl,
    title = {readxl: Read Excel Files},
    author = {Hadley Wickham and Jennifer Bryan},
    year = {2017},
    note = {R package version 1.0.0},
    url = {https://CRAN.R-project.org/package=readxl},
  }
    @Article{reshape2,
    title = {Reshaping Data with the {reshape} Package},
    author = {Hadley Wickham},
    journal = {Journal of Statistical Software},
    year = {2007},
    volume = {21},
    number = {12},
    pages = {1--20},
    url = {http://www.jstatsoft.org/v21/i12/},
  }
  @Manual{rio,
    title = {rio: A Swiss-army knife for data file I/O},
    author = {Chung-hong Chan and Geoffrey CH Chan and Thomas J. Leeper and Jason Becker},
    year = {2016},
    note = {R package version 0.4.16},
  }
    @Manual{rtweet-package,
    title = {rtweet: Collecting Twitter Data},
    author = {Michael W. Kearney},
    year = {2018},
    note = {R package version 0.6.7},
    url = {https://cran.r-project.org/package=rtweet},
  }

  @Article{sandwich,
    title = {Object-Oriented Computation of Sandwich Estimators},
    author = {Achim Zeileis},
    journal = {Journal of Statistical Software},
    year = {2006},
    volume = {16},
    number = {9},
    pages = {1--16},
    url = {http://www.jstatsoft.org/v16/i09/.},
  }

  @Manual{rgdal,
    title = {rgdal: Bindings for the Geospatial Data Abstraction Library},
    author = {Roger Bivand and Tim Keitt and Barry Rowlingson},
    year = {2016},
    note = {R package version 1.1-10},
    url = {https://CRAN.R-project.org/package=rgdal},
  }

  @Manual{rgeos,
    title = {rgeos: Interface to Geometry Engine - Open Source (GEOS)},
    author = {Roger Bivand and Colin Rundel},
    year = {2016},
    note = {R package version 0.3-19},
    url = {https://CRAN.R-project.org/package=rgeos},
  }
  @Manual{rmarkdown,
    title = {rmarkdown: Dynamic Documents for R},
    author = {JJ Allaire and Yihui Xie and Jonathan McPherson and Javier Luraschi and Kevin Ushey and Aron Atkins and Hadley Wickham and Joe Cheng and Winston Chang},
    year = {2018},
    note = {R package version 1.10},
    url = {https://CRAN.R-project.org/package=rmarkdown},
  }
  @Article{sf,
  author = {Edzer Pebesma},
  title = {{Simple Features for R: Standardized Support for Spatial
          Vector Data}},
  year = {2018},
  journal = {{The R Journal}},
  url = {https://journal.r-project.org/archive/2018/RJ-2018-009/index.html},
}


    @Manual{skimr,
    title = {skimr: skimr},
    author = {Eduardo {Arino de la Rubia} and Hao Zhu and Shannon Ellis and Elin Waring and Michael Quinn},
    year = {2017},
    note = {R package version 1.0},
    url = {https://github.com/ropenscilabs/skimr},
  }
   @Manual{stringr,
    title = {stringr: Simple, Consistent Wrappers for Common String Operations},
    author = {Hadley Wickham},
    year = {2016},
    note = {R package version 1.1.0},
    url = {https://CRAN.R-project.org/package=stringr},
  }
  @Manual{@sparklyr,
    title = {sparklyr: R Interface to Apache Spark},
    author = {Javier Luraschi and Kevin Ushey and JJ Allaire and {The Apache Software Foundation}},
    year = {2016},
    note = {R package version 0.4},
    url = {https://CRAN.R-project.org/package=sparklyr},
  }

  @Manual{stargazer,
    title = {stargazer: Well-Formatted Regression and Summary Statistics Tables},
    author = {Marek Hlavac},
    year = {2015},
    note = {R package version 5.2},
    organization = {Harvard University},
    address = {Cambridge, USA},
    url = {http://CRAN.R-project.org/package=stargazer},
  }

@article{survey04,
  title = {Analysis of complex survey samples},
  author = {Lumley, T},
  volume = {9},
  number = {1},
  year = {2004},
  journal = {Journal of Statistical Software},
  pages = {1-19}
}

@Manual{survey16,
    author = {Thomas Lumley},
    year = {2016},
    title = {survey: analysis of complex survey samples},
    note = {R package version 3.32},
  }

  @Manual{tables,
    title = {tables: Formula-Driven Table Generation},
    author = {Duncan Murdoch},
    year = {2017},
    note = {R package version 0.8},
    url = {https://CRAN.R-project.org/package=tables},
  }
@Article{tidytext,
    title = {tidytext: Text Mining and Analysis Using Tidy Data Principles in R},
    author = {Julia Silge and David Robinson},
    doi = {10.21105/joss.00037},
    url = {http://dx.doi.org/10.21105/joss.00037},
    year = {2016},
    publisher = {The Open Journal},
    volume = {1},
    number = {3},
    journal = {JOSS},
  }
  @Manual{tidyverse,
    title = {tidyverse: Easily Install and Load 'Tidyverse' Packages},
    author = {Hadley Wickham},
    year = {2017},
    note = {R package version 1.1.1},
    url = {https://CRAN.R-project.org/package=tidyverse},
  }

  @Manual{twitteR,
    title = {twitteR: R Based Twitter Client},
    author = {Jeff Gentry},
    note = {R package version 1.1.9},
    url = {http://lists.hexdump.org/listinfo.cgi/twitter-users-hexdump.org},
  }

@Manual{viridis,
    title = {viridis: Default Color Maps from 'matplotlib'},
    author = {Simon Garnier},
    year = {2018},
    note = {R package version 0.5.1},
    url = {https://CRAN.R-project.org/package=viridis},
  }

  @Manual{wordcloud,
    title = {wordcloud: Word Clouds},
    author = {Ian Fellows},
    year = {2018},
    note = {R package version 2.6},
    url = {https://CRAN.R-project.org/package=wordcloud},
  }
  
  @Manual{xlsx,
    title = {xlsx: Read, write, format Excel 2007 and Excel 97/2000/XP/2003 files},
    author = {Adrian A. Dragulescu},
    year = {2014},
    note = {R package version 0.5.7},
    url = {https://CRAN.R-project.org/package=xlsx},
  }

@Manual{XML,
    title = {XML: Tools for Parsing and Generating XML Within R and S-Plus},
    author = {Duncan Temple Lang and the CRAN Team},
    year = {2019},
    note = {R package version 3.98-1.20},
    url = {https://CRAN.R-project.org/package=XML},
  }

@article{zoo,
    title = {zoo: S3 Infrastructure for Regular and Irregular Time Series},
    author = {Achim Zeileis and Gabor Grothendieck},
    journal = {Journal of Statistical Software},
    year = {2005},
    volume = {14},
    number = {6},
    pages = {1--27},
    doi = {10.18637/jss.v014.i06},
  }

##############
# Data etc

@electronic{uktu2014,
  title = {United Kingdom Time Use Survey, 2014-2015},
  volume = {23},
  url = {https://discover.ukdataservice.ac.uk/catalogue/?sn=8128},
  number = {7},
  urldate = {2017-03-23},
  author = {Gershuny, Jonathan and Sullivan, Oriel},
  year = {2016},
  pages = {1025--1044}
}


##############
# Papers etc

@phdthesis{parkerThesis2014,
	address = {Loughborough},
	type = {A {Doctoral} {Thesis}. {Submitted} in partial fulfilment of the requirements for the award of {Doctor} of {Philosophy} of {Loughborough} {University}},
	title = {Assessing the sensitivity of historic micro-component household water-use to climatic drivers},
	url = {https://dspace.lboro.ac.uk/2134/14939},
	school = {Loughborough},
	author = {Parker, Joanne M.},
	year = {2014}
}

@article{fotheringham_modifiable_1991,
  title = {The modifiable areal unit problem in multivariate statistical analysis},
  volume = {23},
  url = {http://epn.sagepub.com/content/23/7/1025.short},
  number = {7},
  urldate = {2016-06-23},
  journal = {Environment and planning A},
  author = {Fotheringham, A. Stewart and Wong, David WS},
  year = {1991},
  pages = {1025--1044}
}

@article{ewUrban2013,
  title = {Urban and Rural Area Definitions for Policy Purposes in England and Wales: Methodology},
  url = {http://epn.sagepub.com/content/23/7/1025.short},
  urldate = {2016-06-23},
  author = {Bibby, Peter and Brindley, Paul},
  year = {2013},
}

@article{andersonLaundry2016,
  title = {Laundry, energy and time: insights from 20 years of time-use diary data in the United Kingdom},
  url = {http://dx.doi.org/10.1016/j.erss.2016.09.004},
  journal = {Energy Research & Social Science},
  volume = {22},
  urldate = {2016-12-23},
  author = {Anderson, Ben},
  year = {2016},
  pages = {125--136}
}


@article{stephenson_smart_2017,
	title = {Smart grid research in {New} {Zealand}–{A} review from the {GREEN} {Grid} research programme},
	journal = {Renewable and Sustainable Energy Reviews},
	author = {Stephenson, Janet and Ford, Rebecca and Nair, Nirmal-Kumar and Watson, Neville and Wood, Alan and Miller, Allan},
	year = {2017},
	url = {https://doi.org/10.1016/j.rser.2017.07.010},
	pages = {1636--1645},
	volume = {82 (1)}
}

@article{jack_minimal_2018,
	title = {A minimal simulation of the electricity demand of a domestic hot water cylinder for smart control},
	volume = {211},
	journal = {Applied Energy},
	author = {Jack, M. W. and Suomalainen, K. and Dew, J. J. W. and Eyers, D.},
	year = {2018},
	pages = {104--112}
}

@inproceedings{suomalainen_comparative_2017,
	title = {Comparative analysis of monitored and self-reported data on electricity use},
	booktitle = {Environment and {Electrical} {Engineering} and 2017 {IEEE} {Industrial} and {Commercial} {Power} {Systems} {Europe} ({EEEIC}/{I}\&{CPS} {Europe}), 2017 {IEEE} {International} {Conference} on},
	publisher = {IEEE},
	author = {Suomalainen, Kiti and Jack, Michael and Byers, David and Ford, Rebecca and Stephenson, Janet},
	year = {2017},
	pages = {1--4}
}

@mastersthesis{dianaThesis2015,
  title = {Developing an energy-related Time-Use Diary for gaining insights into New Zealand households’ electricity consumption},
  url = {http://hdl.handle.net/10523/5957},
  school = {University of Otago},
  address = {Centre for Sustainability},
  author = {Giraldo Ocampo, Diana},
  year = {2015}
}

@techreport{ec2Survey2015,
  title = {National Household Survey of Energy and Transportation: Energy Cultures Two},
  url = {http://hdl.handle.net/10523/5634},
  school = {University of Otago},
  address = {Centre for Sustainability},
  author = {Wooliscroft, B},
  year = {2015}
}

@techreport{ggFutureProfiles2018,
  title = {Potential future changes to residential electricity load profiles – findings from the GridSpy dataset},
  url = {http://hdl.handle.net/10523/8074},
  school = {University of Otago},
  address = {Centre for Sustainability},
  author = {Jack, Michael and Suomalainen, Kiti},
  year = {2015}
}

@article{anderson_new_2018,
	title = {New {Zealand} {GREEN} {Grid} household electricity demand study 2014-2018},
	url = {http://reshare.ukdataservice.ac.uk/853334/},
	doi = {10.5255/UKDA-SN-853334},
	abstract = {The NZ GREEN Grid project recruited a sample of 25 households in each of two regions of New Zealand (Stephenson et al. 2017). The first sample was recruited in early 2014 and the second in early 2015. Research data includes: 1 minute mean electricity power (W) data collected for each dwelling circuit using Grid Spy monitors on each power circuit (and the incoming power); dwelling \& appliance surveys; occupant time-use diaries (focused on energy use).},
	urldate = {2018-09-04},
	author = {Anderson, Ben and Eyers, David and Ford, Rebecca and Giraldo Ocampo, Diana and Peniamina, Rana and Stephenson, Janet and Suomalainen, Kiti and Wilcocks, Lara and Jack, Michael},
	month = sep,
	year = {2018}
}

@article{wasserstein2016,
author = {Ronald L. Wasserstein and Nicole A. Lazar},
title = {The ASA's Statement on p-Values: Context, Process, and Purpose},
journal = {The American Statistician},
volume = {70},
number = {2},
pages = {129-133},
year  = {2016},
publisher = {Taylor & Francis},
doi = {10.1080/00031305.2016.1154108},

URL = {
        https://doi.org/10.1080/00031305.2016.1154108

},
eprint = {
        https://doi.org/10.1080/00031305.2016.1154108

}

}

@Article{Greenland2016,
author="Greenland, Sander
and Senn, Stephen J.
and Rothman, Kenneth J.
and Carlin, John B.
and Poole, Charles
and Goodman, Steven N.
and Altman, Douglas G.",
title="Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations",
journal="European Journal of Epidemiology",
year="2016",
month="Apr",
day="01",
volume="31",
number="4",
pages="337--350",
abstract="Misinterpretation and abuse of statistical tests, confidence intervals, and statistical power have been decried for decades, yet remain rampant. A key problem is that there are no interpretations of these concepts that are at once simple, intuitive, correct, and foolproof. Instead, correct use and interpretation of these statistics requires an attention to detail which seems to tax the patience of working scientists. This high cognitive demand has led to an epidemic of shortcut definitions and interpretations that are simply wrong, sometimes disastrously so---and yet these misinterpretations dominate much of the scientific literature. In light of this problem, we provide definitions and a discussion of basic statistics that are more general and critical than typically found in traditional introductory expositions. Our goal is to provide a resource for instructors, researchers, and consumers of statistics whose knowledge of statistical theory and technique may be limited but who wish to avoid and spot misinterpretations. We emphasize how violation of often unstated analysis protocols (such as selecting analyses for presentation based on the P values they produce) can lead to small P values even if the declared test hypothesis is correct, and can lead to large P values even if that hypothesis is incorrect. We then provide an explanatory list of 25 misinterpretations of P values, confidence intervals, and power. We conclude with guidelines for improving statistical interpretation and reporting.",
issn="1573-7284",
doi="10.1007/s10654-016-0149-3",
url="https://doi.org/10.1007/s10654-016-0149-3"
}

@article{Delmas2013Information,
	journal={Energy Policy},
	doi={10.1016/j.enpol.2013.05.109},
	issn=03014215,
	title={{Information strategies and energy conservation behavior: A meta-analysis of experimental studies from 1975 to 2012}},
	volume=61,
	author={Delmas, Magali A. and Fischlein, Miriam and Asensio, Omar I.},
	pages={729–739},
	date={2013-10},
	year=2013,
	month=10,
}
@article{Srivastava2018Assessing,
	journal={Energy Research & Social Science},
	doi={10.1016/j.erss.2017.12.005},
	issn={2214-6296},
	title={Assessing the success of electricity demand response programs: A meta-analysis},
	volume=40,
	author={Srivastava, Aman and Van Passel, Steven and Laes, Erik},
	pages={110--117},
	date={2018-06-01},
	year=2018,
	month=6,
	day=1,
}
@article{Frederiks2016Evaluating,
	journal={Energy Research & Social Science},
	doi={10.1016/j.erss.2016.08.020},
	issn={2214-6296},
	title={{Evaluating energy behavior change programs using randomized controlled trials: Best practice guidelines for policymakers}},
	volume=22,
	author={Frederiks, Elisha R. and Stenner, Karen and Hobman, Elizabeth V. and Fischle, Mark},
	pages={147--164},
	date={2016-12},
	year=2016,
	month=12,
}
@techreport{energyWiseT1,
	publisher={UK Power Networks},
	address={London},
	title={{The Final Energy Saving Trial Report}},
	url={http://innovation.ukpowernetworks.co.uk/innovation/en/Projects/tier-2-projects/Energywise/},
	author={UKPN},
	date=2017,
	year=2017,
}
@techreport{energyWiseT2,
	publisher={UK Power Networks},
	address={London},
	title={{The Energy Shifting Trial Report}},
	url={http://innovation.ukpowernetworks.co.uk/innovation/en/Projects/tier-2-projects/Energywise/},
	author={UKPN},
	date=2018,
	year=2018,
}
@inproceedings{Schofield2015Experimental,
	journal={23 International Conference on Electricity Distribution},
	note={Included in review

Useful analytical technique - ranking households by level of engagement - or perceived responsiveness (using a on-parametric measure of relative responsiveness - based on likelihood that value of electricity bill came about by chance).},
	title={{Experimental validation of residential consumer responsiveness to dynamic time-of-use pricing}},
	author={Schofield, James and Carmichael, Richard and Tindemans, Simon and Woolf, Matt and Bilton, Mark and Strbac, Goran},
	date=2015,
	year=2015,
}

@techreport{RockyMountainInstitute2006Automated,
	title={{Automated demand response system pilot: Final report}},
	url={https://www.smartgrid.gov/files/Aumated_Demd_Response_System_Pilot_Volume_1_Intro_Exec_Summa.pdf},
	author={{Rocky Mountain Institute}},
	date=2006,
	year=2006,
}

@techreport{CER2012Smart,
	publisher={Irish Social Science Data Archive},
	address={Dublin},
	title={{Smart Meter Electricity Consumer Behaviour Trial data}},
	url={http://innovation.ukpowernetworks.co.uk/innovation/en/Projects/tier-2-projects/Energywise/},
	author={CER},
	date=2012,
	year=2012,
}

@techreport{AECOM2011Energy,
	publisher={AECOM},
	address={St Albans},
	title={{Energy Demand Research Project: Final Analysis}},
	author={AECOM},
	date=2011,
	year=2011,
}

@techreport{nzbaseline2015,
  title = {Residential Energy Baseline Study: New Zealand},
  url = {http://energyrating.gov.au/sites/new.energyrating/files/documents/Report_Residential_Baseline_Study_for_New_Zealand_2000_-_2030_0_0.pdf},
  address = {Jindivick, Victoria 3818, Australia},
  author = {EnergyConsult},
  year = {2015}
}

  @Article{openair,
    title = {openair --- An R package for air quality data analysis},
    author = {David C. Carslaw and Karl Ropkins},
    journal = {Environmental Modelling & Software},
    volume = {27--28},
    number = {0},
    pages = {52--61},
    year = {2012},
    issn = {1364-8152},
    doi = {10.1016/j.envsoft.2011.09.008},
  }
  
  @article{goldstein_school_2008,
	title = {School league tables: what can they really tell us?},
	volume = {5},
	copyright = {© 2008 The Royal Statistical Society},
	issn = {1740-9713},
	shorttitle = {School league tables},
	url = {https://rss.onlinelibrary.wiley.com/doi/abs/10.1111/j.1740-9713.2008.00289.x},
	doi = {10.1111/j.1740-9713.2008.00289.x},
	abstract = {School league tables are eagerly scanned by parents hoping to find the best school for their child, and by teachers hoping to see their school rise in the rankings. But do they tell parents what they need to know?Harvey Goldstein and George Leckie argue that league tables are not fit for that purpose, and say it is time that their publication should cease.},
	language = {en},
	number = {2},
	urldate = {2020-07-16},
	journal = {Significance},
	author = {Goldstein, Harvey and Leckie, George},
	year = {2008},
	note = {\_eprint: https://rss.onlinelibrary.wiley.com/doi/pdf/10.1111/j.1740-9713.2008.00289.x},
	pages = {67--69}
}


@article{robinson_carbon_2015,
	series = {Bridges for a more sustainable future: {Joining} {Environmental} {Management} for {Sustainable} {Universities} ({EMSU}) and the {European} {Roundtable} for {Sustainable} {Consumption} and {Production} ({ERSCP}) conferences},
	title = {Carbon management at universities: a reality check},
	volume = {106},
	issn = {0959-6526},
	shorttitle = {Carbon management at universities},
	url = {http://www.sciencedirect.com/science/article/pii/S0959652614007082},
	doi = {10.1016/j.jclepro.2014.06.095},
	abstract = {Carbon dioxide emissions from the higher education sector are globally significant. This study compares the performance of 20 institutions in English research-intensive universities to their self-set targets, using three key performance indicators. Emissions increased for all but two institutions and consequently, targets are extremely ambitious and almost certainly unachievable. Observations are supported by a 10-point appraisal that measures the environmental value of each carbon management plan and a ‘reality check’ equation to classify them as either pragmatic or ambitious. A paradox is highlighted: institutions that set realistic but relatively low targets can be penalised in league tables and lambasted for apparent lack of ambition even when they may be more likely to succeed in delivering environmental improvements. The results of a staff and student questionnaire at the University of Southampton suggest that increasing awareness on impacts of energy usage will promote a cultural shift towards becoming more energy efficient to reduce emissions. Current carbon management plans are not a good indicator of future performance. The English higher education sector has underestimated the challenge of carbon emissions reduction. Pledged targets seem unlikely to be met by English universities and the likely environmental costs may jeopardise the global competitiveness of the sector. Methods for assessing Scope 3 emissions need refining and standardizing, given they are likely to be the most significant portion of a typical university’s carbon footprint. The use of appropriate key performance indicators to foster action and promote realistic target-setting is required at sector-level to achieve the 2020 goal.},
	language = {en},
	urldate = {2020-07-16},
	journal = {Journal of Cleaner Production},
	author = {Robinson, Oliver and Kemp, Simon and Williams, Ian},
	month = nov,
	year = {2015},
	keywords = {Baseline, Carbon management, Emission reduction, Greenhouse gas, Higher education, Russell group},
	pages = {109--118}
}


@article{robinson_towards_2018,
	title = {Towards a universal carbon footprint standard: {A} case study of carbon management at universities},
	volume = {172},
	issn = {0959-6526},
	shorttitle = {Towards a universal carbon footprint standard},
	url = {http://www.sciencedirect.com/science/article/pii/S0959652617303736},
	doi = {10.1016/j.jclepro.2017.02.147},
	abstract = {Organisations of all types are significant contributors to international greenhouse gas emissions. The business case for supporting low-carbon practices is gathering pace, alongside the regulatory demands imposed through carbon emission compliance reporting. Despite this, guidance for generating carbon footprints through hybrid environmentally extended input-output analysis is under-developed and under-researched. Higher Education Institutions are key components of education systems across the globe, transcending international borders, socio-political regimes and economic systems. As an internationally significant sector beginning to address climate issues through carbon reduction policies on and off the estate, very few research articles have been published that document emissions arising from all directly and indirectly attributable activities. This study outlines a number of key elements to standardise the organisational carbon footprinting process by reconciling and evaluating the methodological steps in six selected internationally reputable guidelines (published by the Global Reporting Initiative, the Carbon Disclosure Project, the United Kingdom's Government Department for Environment, Food and Rural Affairs, the Greenhouse Gas Protocol, the International Standardisation Organisation and the Higher Education Funding Council for England). A systematic review is undertaken which relates the four principles of carbon footprinting (boundary-setting, identification of activities, collecting of data and reporting/verification) to the academic literature. Then, via consultation with university environment managers, a number of recommendations are made to address and improve i) the potential to avoid double-counting, ii) the financial and resource cost of carbon footprinting and iii) the reliability and comparability of data compiled by institutions. We introduce a methodology for a universal, standardised footprinting standard for higher education (that could also apply to all organisations regardless of sector or region) with cut-off criteria that excludes paid-for products and services typically included in the ‘Scope 3’ proportion of the footprint. In proposing this methodology, carbon footprinting is made more applicable to higher education institutions (since existing standards are designed for generality and for profit-driven organisations) and the practical issues, associated with externally owned data and non-expert staff, are broadly overcome.},
	language = {en},
	urldate = {2020-07-16},
	journal = {Journal of Cleaner Production},
	author = {Robinson, Oliver J. and Tewkesbury, Adam and Kemp, Simon and Williams, Ian D.},
	month = jan,
	year = {2018},
	keywords = {Carbon management standard, Comparative analysis, Framework, Higher education, Organisation, Systematic review},
	pages = {4435--4455}
}

@misc{passivhaus_trust_2019,
	title = {Passivhaus the route to zero carbon?},
	url = {https://www.passivhaustrust.org.uk/guidance_detail.php?gId=40},
	urldate = {2020-06-11},
	author = {{Passivhaus Trust}},
	year = {2019}
}