Clustering of residential electricity customers using load time series O Motlagh, A Berry, L O'Neil Applied energy 237, 11-24, 2019 | 132 | 2019 |
Energy consumption forecasting using a stacked nonparametric Bayesian approach D Weeraddana, NLD Khoa, L O’Neil, W Wang, C Cai Joint European Conference on Machine Learning and Knowledge Discovery in …, 2020 | 7 | 2020 |
Analysis of the VPP dynamic network constraint management L O’Neil, L Reedman, J Braslavsky, T Brinsmead, C McDonald, A Ward, ... CSIRO, Canberra, ACT, Australia, Tech. Rep, 2021 | 6 | 2021 |
Comparing Clustering Approaches for Smart Meter Time Series: Investigating the Influence of Dataset Properties on Performance LW Yerbury, RJGB Campello, GC Livingston Jr, M Goldsworthy, L O'Neil arXiv preprint arXiv:2412.02026, 2024 | | 2024 |
On the Use of Relative Validity Indices for Comparing Clustering Approaches LW Yerbury, RJGB Campello, GC Livingston Jr, M Goldsworthy, L O'Neil arXiv preprint arXiv:2404.10351, 2024 | | 2024 |
Identifying control schemes for residential battery storage installations M Rana, L O’Neil, K Nguyen, P Graham, L Darby, W Wang, P Goldthorpe, ... CSIRO, Australia, 2021 | | 2021 |
Identifying Queensland batteries and battery install dates using MSATS interval meter data L O’Neil, W Wang, L Darby, P Goldthorpe, D Weeraddana, K Nguyen, ... | | 2020 |
The temporal and geospatial sensitivity of Victorian households to temperature: An analysis using MSATS interval meter data D Weeraddana, L O’Neil, W Wang, K Nguyen, P Goldthorpe, A Spiers, ... | | 2020 |
Using Survey Data to Explore Drivers and Indicators of Residential Electricity Use L O'Neil, E Frederiks, L Romanach, A Berry Improving Residential Energy Efficiency (IREE) 2019, 51-53, 2019 | | 2019 |