Solar Energy Prediction using LM-Back-propagation in ANN
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2019, Vol 21, Issue 1
Abstract
Artificial intelligence has made its presence felt ubiquitously in different avenues of research and technology wherein the data is large and complex. In the proposed work, to forecast solar irradiation energy; whose structure uses the back-propagation concept and uses the Levenberg Marquardt algorithm is used. The system used hitherto a single layer of hidden neurons. The averaging approach is also been used with 2, 12- and 24-hour averaging scheme so as to increase the accuracy of prediction. The system attains a MAPE of 2.7%. Hence the accuracy attained is 97%. The mean square error has been chosen as the performance function for the proposed algorithm.
Authors and Affiliations
Jugal M. Ahuja, Prof. Manish Sharma, Prof. Vijay Bircha
Keywords
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- EP ID EP434814
- DOI 10.9790/0661-2101010107.
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