Open Access Open Access  Restricted Access Subscription or Fee Access

Wind power forecasting using neural network and ARIMA models (field of ”Kabertene”, in southern Algeria)

Laid GASMI, Zouaoui Chikr Elmezouar, Mohammed Kadi Attouch

Abstract



This article compares the predictive performance of ARIMA and artificial neural networks. Production forecasts of wind power to produce electricity in the field of ”Kabertne” (70 km north of the State capital of the Adrar, in southern Algeria), the results show that ANN mode better predict than ARIMA model, according to the criteria of the MAE, RMSE,
and MAD. overall ANN are the best model and can be used as an alternative method for the prediction of wind energy production. The actual empirical results with data indicate
that the proposed model can be an effective way to improve the accuracy of forecasting by artificial neural networks. Therefore, it can be used as an alternative model appropriate for the operational forecasting, especially when forecasts more precision is needed.

Keywords


wind power, forecasting, ARIMA, ANN, performance.

Full Text:

PDF


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.