Scheduled System Maintenance:
Some services will be unavailable Sunday, March 29th through Monday, March 30th. We apologize for the inconvenience.
By Topic

Modeling climate parameters for renewable energy applications in the UAE using neural networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

The purchase and pricing options are temporarily unavailable. Please try again later.
3 Author(s)
El Chaar, L. ; Pet. Inst., United Arab Emirates ; Lamont, L.A. ; Karkoub, M.

This paper aims to create prediction models for both global solar radiation and wind speed for the city of Abu Dhabi in the United Arab Emirates. To do so neural network techniques using feed-forward back propagation were deployed and samples for the month of January for such models are presented. The results confirm the accuracy of the models and compare the measured output with the neural network trained outputs. Such models will then be used for estimating power generation using photovoltaics and/or wind turbines.

Published in:

Integration of Wide-Scale Renewable Resources Into the Power Delivery System, 2009 CIGRE/IEEE PES Joint Symposium

Date of Conference:

29-31 July 2009