Several key publications and projects led to the formulation of AMIDiNe; the following is a summary of these works.
Granell, R.; Axon, C.J.; Wallom, D.C.H.; “Clustering disaggregated load profiles using a Dirichlet process mixture model.” Energy Conversion and Management, Vol 92: pp. 507-516, 2015. DOI: http://dx.doi.org/10.1016/j.enconman.2014.12.080
Granell, R.; Axon, C.J.; Wallom, D.C.H.; “Impacts of raw data temporal resolution using selected clustering methods on residential electricity load profiles.” IEEE Trans. Power Systems, Vol 30(6): pp.3217-3224, 2015.DOI: http://dx.doi.org/10.1109/TPWRS.2014.2377213
Harvey, P.R., Stephen, B. and Galloway, S., 2016. Classification of AMI residential load profiles in the presence of missing data. IEEE Transactions on Smart Grid, 7(4), pp.1944-1945.
Stephen, B., Mutanen, A.J., Galloway, S., Burt, G. and Järventausta, P., 2013. Enhanced load profiling for residential network customers. IEEE Transactions on Power Delivery, 29(1), pp.88-96.
Stephen, B., Tang, X., Harvey, P.R., Galloway, S. and Jennett, K.I., 2015. Incorporating practice theory in sub-profile models for short term aggregated residential load forecasting. IEEE Transactions on Smart Grid, 8(4), pp.1591-1598.