This page provides an overview, alphabetically by author(s), of all articles on smart meters useful for WP3 Smart meters. See here for documentation on big data in general and on the other workpackages.

• L. Breiman (2001): Random Forests, Machine Learning 45(1), 5-32.
• P. Carroll et al. (2013): Exploration of electricity usage data from smart meters to investigate household composition
• L. Celenza, M. Dell’Isola, R. D’Alessio, G. Ficco, P. Vigo & A. Viola (2013): Metrological analysis of smart heat meter. Flomeko 2013, Paris.
• Elering (2016): Estonian Data Hub. Guide for using and joining the Estonian Data Hub. Version 2.0, July 2016.
• European Commission (2014): Commission staff working document SWD/2014/0188 Country fiches for electricity smart metering Accompanying the document Report from the Commission Benchmarking smart metering deployment in the EU-27 with a focus on electricity. ( PDF, 1.28 MB)
• European Commission (2014): Commission staff working document SWD/2014/0189 Cost-benefit analyses & state of play of smart metering deployment in the EU-27 Accompanying the document Report from the Commission Benchmarking smart metering deployment in the EU-27 with a focus on electricity. ( PDF, 1.59 MB)
• European Parliament, Council of the European Union (1995): Directive 95/46/EC of the European Parliament and of the Council of 24 October 1995 on the protection of individuals with regard to the processing of personal data and on the free movement of such data. ( PDF, 2.24 MB)
• European Parliament, Council of the European Union (2002): Directive 2002/91/EC of the European Parliament and of the Council of of 16 December 2002 on the energy performance of buildings. ( PDF, 2.24 MB)
• European Parliament, Council of the European Union (2008): Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics. ( PDF, 224 kB)
• European Parliament, Council of the European Union (2009): Directive 2009/72/EC of the European Parliament and of the Council of 13 July 2009 concerning common rules for the internal market in electricity and repealing Directive 2003/54/EC. ( PDF, 1.18 MB)
• K. Gask & S. Williams (2015): ONS Methodology Working Paper Series No 6 Analysing low electricity consumption using DECC data.
• V. Giordano, I. Onyeij, G. Fulli, M. Sanchez Jimenez & C. Filiou (2012): Guidelines for cost-benefit analysis of smart metering deployment. Publications Office of the European Union. ( PDF, 3.11 MB)
• RJ Hyndman & Y. Khandakar (2008): ESSnet on Quality of multisource statistics, Preliminary report,(CROS, 2016), ESSnet page. Automatic time series forecasting: the forecast package for R. Journal of Statistical Software, 26(3), pp. 1-22.
• International Energy Agency (2011): Technology Roadmap: Smart Grids. [1]( PDF, 3.02 MB)
• Kamstrup (2017): New possibilities with smart metering. Kamstrup A/S.
• E. McKenna, I. Richardson & M. Thomson (2012): Smart meter data: Balancing consumer privacy concerns with legitimate applications. Energy Policy, 41, 807–814.
• B. Meindl, M. Templ, A. Alfons, A. Kowarik & M. Ribatet (2017): simPop: Simulation of Synthetic Populations for Survey Data Considering Auxiliary Information. R package version 0.6.1.
• J. Raymaekers, P. Rousseeuw & W. Van den Bossche (2016): cellWise: Analyzing Data with Cellwise Outliers. R package version. Version 1.0.0.
• P. J. Rousseeuw & W. V. den Bossche (2016): Detecting Deviating Data Cells.
• Smart Electricity grids and meters in the EU member states: http://www.europarl.europa.eu/RegData/etudes/BRIE/2015/568318/EPRS_BRI(2015)568318_EN.pdf, http://www.europarl.europa.eu/RegData/etudes/BRIE/2015/568318/EPRS_BRI(2015)568318_EN.pdf
• UNECE (2015): Experiment report: Canadian Smart Meter Data
• A. Virgillito (2015): Computing Energy Consumption from Smart Meters Data
• S. Williams & K. Gask (2015): ONS Method paper no. 40 Modelling sample data from smart-type electricity meters to assess potential within official statistics.
• S. Williams & K. Gask (2015): Modelling sample data from smart-type electricity meters to assess potential within official statistics. GSS Methodology Series No 40. Office for National Statistics. UK.