publication . Other literature type . Article . 2007

Artificial Neural Network Approach For Short Term Load Forecasting For Illam Region

Mohsen Hayati; Yazdan Shirvany;
Open Access English
  • Published: 24 Apr 2007
  • Publisher: Zenodo
Abstract
In this paper, the application of neural networks to study the design of short-term load forecasting (STLF) Systems for Illam state located in west of Iran was explored. One important architecture of neural networks named Multi-Layer Perceptron (MLP) to model STLF systems was used. Our study based on MLP was trained and tested using three years (2004-2006) data. The results show that MLP network has the minimum forecasting error and can be considered as a good method to model the STLF systems.
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Other literature type . 2007
Provider: Datacite
Zenodo
Other literature type . 2007
Provider: Datacite
ZENODO
Article . 2007
Provider: ZENODO
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publication . Other literature type . Article . 2007

Artificial Neural Network Approach For Short Term Load Forecasting For Illam Region

Mohsen Hayati; Yazdan Shirvany;