NDLI: Analysis of moroccan wind and solar potential using artificial neural network approach

Content Provider	IEEE Xplore Digital Library
Author	Ouammi, A. Dagdougui, H. Zejli, D. Sacile, R.
Copyright Year	2012
Description	Author affiliation: CNRST, TEER, Rabat, Morocco (Ouammi, A.; Dagdougui, H.) \|\| DIST Faculty of Engineering, University of Genoa, Italy (Zejli, D.; Sacile, R.)
Abstract	An artificial neural network (ANN) model is used to forecast the annual wind speeds and solar irradiation in Morocco. Solar irradiation data are taken from the new Satellite Application Facility on Climate Monitoring (CM-SAF) - PVGIS database. The annual wind speed data are taken from (CDER, 2007). In this paper, the data are inferred using an ANN algorithm to establish a forward/reverse correspondence between the longitude, latitude, elevation, solar irradiation and wind speed. Specifically, for the ANN model, a three-layered, backpropagation standard ANN classifier is considered consisting of three layers: input, hidden and output layer. The learning set consists of the normalised longitude, latitude, elevation and the normalised mean annual wind speed of 20 sites and the normalised mean annual solar irradiation of 41 Moroccan sites. The testing set consists of patterns just represented by the input component, while the output component is left unknown and its value results from the ANN algorithm for that specific input. The results are given in the form of annual wind speed and solar irradiation maps. They indicate that the method could be used by researchers or engineers to provide helpful information for decision makers in terms of site selection, design and planning of new solar and/or wind power plants.
Starting Page	43
Ending Page	47
File Size	373092
Page Count	5
File Format	PDF
ISBN	9781467329743
e-ISBN	9781467329750
DOI	10.1109/SYSoSE.2012.6384182
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-16
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radiation effects Databases Artificial neural networks Morocco Solar Atlas Wind Atlas Artificial neural network Geographic Information System
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Artificial Neural Network Analysis of Moroccan Solar and Wind Potential and their Use in Hydrogen Production

Evaluation of School Buildings in Basrah using Geographic Information Systems and Artificial Neural Networks

An intelligent neural network based driving system using artificial net extension

Development of two artificial neural network methods for landslide susceptibility analysis

Urban land suitability evaluation based on BP network

Artificial neural network model for prediction solar radiation data: application for sizing stand-alone photovoltaic power system

Neural Network Ensembles Based Approach for Mineral Prospectivity Prediction

Solar power forecasting using artificial neural networks

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

Analysis of moroccan wind and solar potential using artificial neural network approach

Similar Documents

Artificial Neural Network Analysis of Moroccan Solar and Wind Potential and their Use in Hydrogen Production

Evaluation of School Buildings in Basrah using Geographic Information Systems and Artificial Neural Networks

An intelligent neural network based driving system using artificial net extension

Development of two artificial neural network methods for landslide susceptibility analysis

Urban land suitability evaluation based on BP network

Artificial neural network model for prediction solar radiation data: application for sizing stand-alone photovoltaic power system

Neural Network Ensembles Based Approach for Mineral Prospectivity Prediction

Solar power forecasting using artificial neural networks

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

Analysis of moroccan wind and solar potential using artificial neural network approach