Neural Model with Particle Swarm Optimization Kalman Learning for Forecasting in Smart Grids

المؤلفون المشاركون

Ricalde, Luis J.
Simetti, Chiara
Odone, Francesca
Alanis, Alma Y.

المصدر

Mathematical Problems in Engineering

العدد

المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-9، 9ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2013-06-06

دولة النشر

مصر

عدد الصفحات

9

التخصصات الرئيسية

هندسة مدنية

الملخص EN

This paper discusses a novel training algorithm for a neural network architecture applied to time series prediction with smart grids applications.

The proposed training algorithm is based on an extended Kalman filter (EKF) improved using particle swarm optimization (PSO) to compute the design parameters.

The EKF-PSO-based algorithm is employed to update the synaptic weights of the neural network.

The size of the regression vector is determined by means of the Cao methodology.

The proposed structure captures more efficiently the complex nature of the wind speed, energy generation, and electrical load demand time series that are constantly monitorated in a smart grid benchmark.

The proposed model is trained and tested using real data values in order to show the applicability of the proposed scheme.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Alanis, Alma Y.& Ricalde, Luis J.& Simetti, Chiara& Odone, Francesca. 2013. Neural Model with Particle Swarm Optimization Kalman Learning for Forecasting in Smart Grids. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1031732

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Alanis, Alma Y.…[et al.]. Neural Model with Particle Swarm Optimization Kalman Learning for Forecasting in Smart Grids. Mathematical Problems in Engineering No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-1031732

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Alanis, Alma Y.& Ricalde, Luis J.& Simetti, Chiara& Odone, Francesca. Neural Model with Particle Swarm Optimization Kalman Learning for Forecasting in Smart Grids. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1031732

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1031732