Neural Network Digunakan Untuk Memprediksi Kebutuhan Beban Listrik  

Oleh:

Aprian, Riska

Jenis: Article from Journal - ilmiah nasional - tidak terakreditasi DIKTI
Dalam koleksi: Widya: Majalah Ilmiah vol. 23 no. 251 (Aug. 2006), page 39-51.
Topik: neural network; Neural Network; Beban Listrik

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: MM47.24 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada	Lihat Detail Induk
Perpustakaan PKPM Nomor Panggil: W36 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada	Lihat Detail Induk

Isi artikel

It is a common place that load forecasting plays an important role in the planning and operation of power systems. At present, as electricity markets appear all over the world, problems such as long and short term electricity contracts, market soruces and energy trading in general involve more and more outputs from load forecasters, Typically, load forecasting was usually performed using statistical time series and regression methods. Among these methods, the ARMA and ARIMA, models (autoregressive (integrated) moving average) were very popular in the near past, by experience recommend for short term load forecasting the results in the literature show that ANNs as feasible solutions. As to the medium term load forecasting our experience found that self organization and Kohonen networks could be a valuable and reliable approach.

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