مشروع البحث: Short term load forecast using neural network algorithm for tripoli electrical network
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المساهمين
الممولين
رقم التعريف
6060
الباحث
عبدالواحد ابراهيم خليفة
الوصف
There is a growing tendency towards unbundling the electricity system. This is continually confronting the different sectors of the industry (generation, transmission, and distribution) with increasing demand on planning management and operations of the network. The operation and planning of a power utility system requires an adequate model for electric power load forecasting [1].
Forecasting load accurately plays a very important role for power energy management system [2]. Precise load forecasting helps the electric utility to make unit commitment decisions, reduce spinning reserve capacity and schedule device maintenance plan properly. Besides playing a key role in reducing the generation cost [1].
الكلمات الدالة
network algorithm for Tripoli electrical network