Publications

  • Toussaint, W. and Moodley, D. Using competency questions to select optimal clustering structures for residential energy consumption patterns. ICLR 2020 Workshop on Machine Learning in Real Life, 2020. URL https://arxiv.org/abs/2006.00934.
  • Toussaint, Wiebke. The Domestic Electrical Load (DEL) Study Datasets for South Africa. 2020. doi:10.25375/uct.11774691.v1.
  • Toussaint, W. and Moodley, D. Comparison of Clustering Techniques for Residential Load Profiles in South Africa. Proceedings of the South African Forum for AI Research, 2019. URL CEUR-WS.org/Vol-1//Vol-2540/FAIR2019_paper_55.pdf.
  • Toussaint, Wiebke. Evaluation of Clustering Techniques for Generating Household Energy Consumption Patterns in a Developing Country Context. 2019. URL http://hdl.handle.net/11427/30905. (Masters thesis)
  • Toussaint, Wiebke. Training engineerings for local engineering excellence. Journal of Humanitarian Engineering 7, 1. 2019. doi:10.36479/jhe.v7i1.159.

Datasets

  • Toussaint, Wiebke. Domestic Electrical Load Metering, Hourly Data 1994-2014 [dataset]. version 1. Johannesburg: SANEDI [funders]. Cape Town: UCT [producers], 2014. Cape Town: DataFirst [distributor], 2019. doi:10.25828/56nh-fw77
  • Toussaint, Wiebke. Domestic Electrical Load Survey - Key Variables 1994-2014 [dataset]. version 1. Johannesburg: SANEDI [funders]. Cape Town: UCT Energy Research Centre [producers], 2014. Cape Town: DataFirst [distributor], 2019. doi:10.25828/mf8s-hh79
  • Eskom, Stellenbosch University, University of Cape Town. Domestic Electrical Load Metering Data 1994-2014 [dataset]. version 1. Johannesburg: Eskom, Cape Town: UCT, Stellenbosch: US [producers], 2014. Cape Town: DataFirst [distributor], 2019. doi:10.25828/p3k7-r965
  • Eskom, Stellenbosch University, University of Cape Town. Domestic Electrical Load Survey 1994-2014 [dataset]. version 1. Johannesburg: Eskom, Cape Town: UCT, Stellenbosch: US [producers], 2014. Cape Town: DataFirst [distributor], 2019. doi:10.25828/kzer-gd88
  • Eskom, Stellenbosch University, University of Cape Town. Domestic Electrical Load Survey-Secure Data 1994-2014 [dataset]. version 1. Johannesburg: Eskom, Cape Town: UCT, Stellenbosch: US [producers], 2014. Cape Town: DataFirst [distributor], 2019. doi:10.25828/7jtv-mc31

Software

  • usal_echo: python data science pipeline to automate echocardiogram analysis
  • Toussaint, Wiebke. delretrieve: Data Retrieval of the South African Domestic Electrical Load Study, version 1.01. Zenodo. doi:10.5281/zenodo.3605425 (2019).
  • Toussaint, Wiebke. delprocess: Data Processing of the South African Domestic Electrical Load Study, version 1.01. Zenodo. doi:10.5281/zenodo.3605422 (2019).

Seminars, Workshops & Talks

  • A primer on edge intelligence for smart grids, SAIEE National Conference Johannesburg, South Africa, 28 November 2019.
  • Shedding light on residential energy consumer behaviour in South Africa, SAIEE Load Research Chapter Webinar, 30 July 2019. [video]
  • Evaluation of clustering techniques for generating household energy consumption patterns in a developing country, eResearch Africa 2019, Cape Town, South Africa, 18 April 2019.
  • Unsupervised Machine Learning 101, Deep Learning IndabaX, Durban, South Africa, 16 April 2019. [video]
  • Building, managing and maintaining data and knowledge-sharing ecosystems for medium-sized research centres, SciDataCon-IDW 2018, Gaberone, Botswana, 6 November 2018.
  • Workshop on Domestic Load Research, Domestic Use of Energy Conference, Cape Town, South Africa, 4 April 2018.
  • ckan + R: workflows for data retrieval and archiving, satRday 2018, Cape Town, South Africa, 17 March 2018. [video]

Summer/Winter Schools