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Electric load demand forecasting for Aborlan-Narra-Quezon distribution grid in Palawan using multiple linear regression

机译:使用多元线性回归的Palawan中Aborlan-Nara-Quezon分布网格的电负荷需求预测

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Load forecasting is needed by an electric utility to anticipate the amount of power to be generated and distributed to the consumers. It will be a big help for them in power system planning, scheduling, and operation especially now that there is power crisis in the country. In this paper, the use of regression based approach will be used to forecast the load demand of Aborlan-Narra-Quezon distribution grid in Palawan for the next ten (10) years. The factors considered were the actual historical data from the local power utility company, the number of consumers for the past five (5) years, and the development plans (i.e. commercial, industrial) on the subject area for the next ten (10) years ahead as the input data. Results showed that the proposed method is satisfactory. The overall load forecasting error or the mean average percentage error (MAPE) is 2.26% which is very much feasible and acceptable. The use of multiple linear regression in MS Excel is implemented and very useful to evaluate the accuracy and significance of the forecasted data. The forecasted data determined the need for capacity addition of an existing generating plant and proposed another source of energy. If the proposed model is adopted, it can be applied to other distribution system in Palawan to forecast the entire electricity demand of the main distribution grid as well as the island grid.
机译:电动效用需要负载预测,以预测要生成和分配给消费者的权力量。在电力系统规划,调度和操作中,它们将是一个很大的帮助,特别是现在存在电力危机。本文的使用基于回归的方法将用于预测未来十(10)年Palawan中Aborlan-Nara-Quezon分配网格的负荷需求。考虑的因素是来自当地电力公司的实际历史数据,过去五(5)年的消费者人数,以及未来十(10)年的主题领域的发展计划(即商业,工业)前方作为输入数据。结果表明,该方法令人满意。总负荷预测误差或平均平均百分比误差(MAPE)是2.26 %,这是非常可行和可接受的。在MS Excel中使用多个线性回归是实现的,非常有用的是评估预测数据的准确性和重要性。预测数据确定了需要容量添加现有的发电工厂并提出另一个能量来源。如果采用所提出的模型,则可以应用于Palawan中的其他配送系统,以预测主要配送网格以及岛网的整个电力需求。

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