首页> 外文期刊>International Journal of Engineering Science and Technology >LONG TERM LOADFORECASTING FOR SOUTHERN GRID INDIAN POWER SYSTEM USNIG ANN APPROACH FOR TRANSMISSION EXPANSION PLANNING
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LONG TERM LOADFORECASTING FOR SOUTHERN GRID INDIAN POWER SYSTEM USNIG ANN APPROACH FOR TRANSMISSION EXPANSION PLANNING

机译:基于输电扩展规划方法的印度南部电网长期负荷预测。

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摘要

Day to day operation and planning actions of power systems necessitates the prediction of the future electrical demand of its customers and prediction of load demand is called as Load Forecasting. Usually Load Forecasting is divided into short term, medium term, and long term forecasting. The short-term load forecasting refers to hourly prediction of the load for a time ranging from one hour to several days. The medium term load forecasting forecasts for a forecast horizon of one to several months ahead. The long term forecasting refers to forecasts prepared for one to several years in the future. Load Forecasting is more useful in planning of power systems i.e. Generation Expansion Planning, Transmission Expansion Planning, and Load Scheduling etc. In this paper, Long Term Load Forecasting is done for Southern Grid Indian Power System using Artificial Neural Networks (ANN). Load Forecasting is prepared for the proposed system for 11 years i.e. from year 2015 to year 2025.
机译:电力系统的日常运行和计划行动需要对客户未来的电力需求进行预测,而负荷需求的预测又称为负荷预测。通常,负荷预测分为短期,中期和长期预测。短期负荷预测是指每小时的负荷预测范围为一小时到几天。中期负荷预测的预测范围为未来一到几个月。长期预报是指对未来一到几年的准备。负荷预测在电力系统的规划(即发电扩展计划,输电扩展计划和负荷调度等)中更有用。在本文中,使用人工神经网络(ANN)对南部电网印度电力系统进行了长期负荷预测。为拟议系统准备了11年的负荷预测,即从2015年到2025年。

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