Title: Short Term Power Demand Prediction Using Stochastic Gradient Boosting,
Abstract: Power prediction demand is vital in power system and delivery engineering
fields. By efficiently predicting the power demand, we can forecast the total
energy to be consumed in a certain city or district. Thus, exact resources
required to produce the demand power can be allocated. In this paper, a
Stochastic Gradient Boosting (aka Treeboost) model is used to predict the short
term power demand for the Emirate of Sharjah in the United Arab Emirates (UAE).
Results show that the proposed model gives promising results in comparison to
the model used by Sharjah Electricity and Water Authority (SEWA).