This paper presents a novel approach to the modelling of electrical energy demand forecasting, based on Quasi-Moment-Method (QMM). The technique, using historical consumption/demand data, essentially calibrates nominated ‘base’ models (in this case, nominal Harvey and Autoregressive models) provide significantly better performing models. In addition novelty use QMM, identifies hitherto unreport...