Zaber, MoinulBhyiyan, FarhadSayeed, AbuIslam, SamiulRakib, NibrasAli, Amin2018-03-282018-03-282018-03http://hdl.handle.net/10625/56917This case study attempts to provide a load forecasting model to help ascertain short-term electricity demand at the regional level in Bangladesh. To assist policy makers in determining how regulatory decisions impact behavior, consumer level billing data, and power satiation level, supply data such as load variability and load shedding is analyzed. Cleaning the dataset and dealing with outlier values includes such problems as lack of exact household addresses in Dhaka city. The impact of changes in appliance use due to weather or price hikes is examined in order to predict future energy needs of consumers.application/pdfenENERGY CONSUMPTIONENERGY DEMANDELECTRICITY CONSUMPTIONCONSUMPTION PATTERNSBIG DATABANGLADESH--DHAKACASE STUDIESDATA MININGSOUTH ASIAWorking Paper