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Electrical Load Forecasting Techniques employed in Power Sector of Pakistan

机译:巴基斯坦电力部门采用电负荷预测技术

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This paper elaborates different methodologies used in National Transmission and Despatch Company (NTDC) Pakistan for electrical energy and power demand forecast i.e. Regression Analysis and Power Market Survey (PMS). It includes forecasting both energy and peak power demand for Pakistan's power system. Forecast energy and power demands with high precision is highly significant; an underestimation will result in load shedding and an overestimation will cause overinvestment. For regression analysis, top-down econometric technique of Ordinary Least Square is applied at disaggregate level i.e. domestic, commercial, industrial and agriculture sector to forecast energy consumption. PMS methodology is categorized as bottom up approach, i.e. energy and power demands are forecasted from 11kV feeder level, DISCO level and finally aggregated for NTDC level. The comparison between the two methodologies is presented in the paper as well. Moreover, the forecasted demand is compared with actual demand experienced historically.
机译:本文阐述了国家传输和发货公司(NTDC)巴基斯坦用于电能和电力需求预测的不同方法,即回归分析和电力市场调查(PMS)。它包括预测巴基斯坦电力系统的能源和峰值电力需求。预测高精度的能量和功率需求非常重要;低估将导致负荷缩小,高估将导致过度投资。对于回归分析,普通最小正方形的自上而下的计量技术适用于分解水平,即国内,商业,工业和农业部门预测能源消耗。 PMS方法被分类为自下而上的方法,即从11kV馈线级别,迪斯科水平预测能量和电力需求,最终汇总NTDC级别。两种方法之间的比较也在论文中呈现。此外,预测需求与历史上经历的实际需求进行了比较。

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