使用Yapay Sinir网络（YSA）估计土耳其不同来源的发电潜力

IF 0.3 Q4 COMPUTER SCIENCE, THEORY & METHODS

Computer Science-AGH Pub Date : 2021-09-16 DOI:10.53070/bbd.991039

Harun Işık, Mustafa Şeker

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引用次数: 0

摘要

--世界上对电能的需求与日俱增。就满足日益增长的需求和确定计划实现的发电投资的经济价值而言，进行长期电力生产预测至关重要。在这项研究中，提出了一种基于人工神经网络（ANN）的能源生产预测方法，该方法使用土耳其的装机容量、总发电量等能源指标

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Yapay Sinir Ağı (YSA) Kullanarak Farklı Kaynaklardan Türkiye’de Elektrik Enerjisi Üretim Potansiyelinin Tahmini

— The demand for electrical energy in the world is increasing day by day. It is of great importance to make long-term electricity production forecasts in terms of meeting the increasing demand and determining the economic value of the generation investments that will be planned to be realized. In this study, an artificial neural network (ANN) based estimation methodology is presented for energy production forecasting using energy indicators such as Turkey's installed power capacity, gross electricity production

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来源期刊

Computer Science-AGH COMPUTER SCIENCE, THEORY & METHODS-

CiteScore

1.40

自引率

0.00%

发文量

审稿时长

20 weeks