Genetic algorithm‐based non‐linear auto‐regressive with exogenous inputs neural network short‐term and medium‐term uncertainty modelling and prediction for electrical load and wind speed-Reference-Cited by-同舟云学术

Genetic algorithm‐based non‐linear auto‐regressive with exogenous inputs neural network short‐term and medium‐term uncertainty modelling and prediction for electrical load and wind speed

Published:2018-08 Issue:8 Volume:2018 Page:721-729
ISSN:2051-3305
Container-title:The Journal of Engineering
language:en
Short-container-title:J. eng.

Author:

Jawad Muhammad¹,Ali Sahibzada M.²,Khan Bilal²,Mehmood Chaudry A.²,Farid Umar²^ORCID,Ullah Zahid³,Usman Saeeda⁴,Fayyaz Ahmad²,Jadoon Jabran²,Tareen Nauman²,Basit Abdul²,Rustam Muhammad A.²,Sami Irfan²

Affiliation:

1. Department of Electrical EngineeringCOMSATS University IslamabadLahore CampusPakistan

2. Department of Electrical EngineeringCOMSATS University IslamabadAbbottabad CampusPakistan

3. Department of Electrical EngineeringUniversity of Management and Technology LahoreSialkot CampusPakistan

4. Department of Electrical EngineeringCOMSATS University IslamabadSahiwal CampusPakistan

Publisher

Institution of Engineering and Technology (IET)

Subject

General Engineering,Energy Engineering and Power Technology,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/joe.2017.0873

Reference26 articles.

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4. Technical challenges associated with the integration of wind power into power systems;Georgilakis P. S.;Renew. Sustain. Energy Rev.,2008

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