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Modelling of unsuppressed electrical demand forecasting in Iraq for long term

Mohammed, Nooriya A.
Energy 2018 v.162 pp. 354-363
Consumer Price Index, algorithms, consumer demand, electricity, energy, gross national product, models, prediction, temperature, Iraq
One of the main obstacles to Iraq's economic and social development is the lack of reliable electricity supply. In recent years there has been a significant increase in grid-based electricity capacity, but it is still far from being sufficient to meet demand growth. Therefore, it is necessary to build a suitable and flexible forecasting model for this energy system. In this paper, the results of two models are compared to other previous studies of Iraq's energy system to provide the yearly unsuppressed load forecast in the long term. The relationship between the actual load supply and four sets of historical data: population, gross national product, consumer price index and temperature, is examined. The result shows that a reduction in the prediction of electricity demand including suppressed demand occurs when increasing the growth of the consumer price index and removing the war affect. The suppressed consumer demand is estimated by developing a heuristic algorithm and the impact of the reserve margin and load diversity factor is considered to obtain the final forecast. The main contribution of this paper integrates various factors, after rebuilding the lost information, and includes the influence of relevant independent variables, each one for a given weight.