NDLI: Generalized Neural Network Approach for Global Solar Energy Estimation in India

Content Provider	IEEE Xplore Digital Library
Author	Rizwan, M. Jamil, M. Kothari, D.P.
Copyright Year	2010
Abstract	In India, large areas of land are barren and sparsely populated, making these areas suitable as locations for large central power stations based on solar energy. India is located in the equatorial sun belt of the earth, thereby receiving abundant radiant energy from the sun. Estimating solar energy accurately is a big task to exploit the solar potential for power generation. A number of conventional and intelligent models are available; how- ever, the results are not satisfactory due to extreme simplicity of their parameterization. In this paper, application of generalized neural network (GNN), a modified approach of artificial neural network (ANN), is proposed to estimate solar energy to overcome the problems of ANN such as a large number of neurons and layers required for complex function approximation, which do not affect the training time only but also the fault tolerant capabilities of the ANN. The mean relative error in the estimation of global solar energy is found around 4% whereas the same using fuzzy logic is 6% approximately. Therefore, it is concluded that the GNN technique is found more accurate for the estimation of global solar energy.
Starting Page	576
Ending Page	584
Page Count	9
File Size	1342916
File Format	PDF
ISSN	19493029
Volume Number	3
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Solar energy Estimation Neurons Biological neural networks Training Mathematical model Artificial neural networks solar energy estimation Artificial neural network (ANN) fuzzy logic generalized neural network (GNN) meteorological data
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment

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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
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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