神经网络与Levenberg - Marquardt算法在贵州IA-Grai地区负荷预测中的应用

Quang-Huy Giap, D. L. Nguyen, Thi-Thanh-Quynh Nguyen, Thi Minh Hang Tran
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引用次数: 2

摘要

电能是人类生活和经济发展的基础。随着人们和企业对电力需求的不断增加,电力行业必须始终确保生产活动的充足供应。这就迫切需要一种准确的负荷预测工具来制定电力生产和分配策略。如果需求预测低于实际,就会出现电力供应不足的现象。但是,如果超过个人和企业的用电需求,就会造成经济上的损失。因为,必须动用柴油发电机等备用电源。由于这些原因,电力负荷预测问题在有效供电方面变得非常重要。提出了一种基于神经网络和Levenberg - Marquardt算法的电力负荷预测工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applying Neural Network And Levenberg - Marquardt Algorithm for Load Forecasting in IA-Grai District, Gia Lai Province
Electrical energy is fundamental to the life and economic development. Accompany by the increasing demand for electricity by people and businesses, the electricity industry must always ensure sufficient supply for production activities. This poses an urgent need to have an accurate load forecasting tool for electricity production and distribution strategy. If the demand forecast is lower than the reality, the phenomenon of power supply shortage will occur. While if the forecast exceeds the demand for use by people and businesses, it will cause economic losses because it must mobilize power sources by using a backup as a diesel generator. For these reasons, the problem of electrical load forecasting becomes very important in terms of efficient power supply. In this paper, a load forecasting tool using Neural Network and Levenberg - Marquardt algorithm is presented.
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