Abstract-As in the peak period electricity demand is high, providing a demand model to analyze load condition particularly during maximum demand period is important in relation to keep continuity service to connected consumers. In this research, effect of meteorological variables and holidays particularly on daytime maximum demand period for a total load for five different demand areas in Makassar -Indonesia are observed by developed demand models based on regression method using hourly data. We firstly observe characteristics of demand for whole period through WPED m model as a basis analysis. Next, we explore typical characteristic when daytime maximum demand period by creating DMD m model. In order to find better model, some options for each model are composed and assessed by standard statistical tests. From results, it is confirmed the composed models are well validated. Load drivers and their effect on the observed demand periods are found unique.Index Terms-Demand characteristic, daytime maximum demand, meteorological variables, electricity demand model, Makassar.