Investigation of performance effect of input diversity on long term electricity demand forecasting

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原文链接

NETL

外文摘要：The long term electricity demand forecasting is evaluated by using past demand and weather data。 The aim of this study is to present the effect of the variety of inputs on performance。 Therefore neural network models are evaluated due to their performance and common acceptance。 Different varieties of inputs are applied to the model and results are compared with each other。

外文关键词：

electricity demandlong term forecastingneural network

作者：

Altinoz, O. Tolga、Mengusoglu, Erhan

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作者单位：

Elektrik Elektron. Muhendisligi Bolumu, Ankara Univ., Ankara, Turkey

会议名称：

Signal Processing and Communications Applications Conference

会议地点：

Malatya(TR)

会议母体文献：

2015 23rd Signal Processing and Communications Applications Conference

页码：

1098-1101

出版时间：

2015

DOI：

10.1109/SIU.2015.7130026