FPGA-Based Implementation of Intelligent Predictor using ANN for Global Solar Irradiation
Shalini M.G1, Punithkumar M.B2, M.B. Anandaraju3
1Shalini M.G, PG Student, Department of VLSI Design and Embedded System, BGS Institute of Technology, BG Nagar, Mandya (Karnataka), India.
2Punithkumar M.B, Assistant Professor, Department of Electronics and Communication Engineering, BGS Institute of Technology, BG Nagar, Mandya (Karnataka), India.
3Prof. M.B Anandaraju, Professor and HOD, Department of Electronics and Communication Engineering, BGS Institute of Technology, BG Nagar, Mandya (Karnataka), India.
Manuscript received on 10 July 2013 | Revised Manuscript received on 18 July 2013 | Manuscript Published on 30 July 2013 | PP: 111-117 | Volume-3 Issue-2, July 2013 | Retrieval Number: B1048073213/13©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Global solar irradiation is considered as one of the most important parameter in the design of renewable and solar energy systems. Global solar irradiation is usually represented as time series. Frequently, the measured data are not always available, especially in the remote areas because of the absence of the meteorological stations or measuring instruments. Numerous studies in the literature have shown the possibility to find a correlation between solar irradiation and other meteorological parameters such as air temperature, humidity, sunshine duration etc. The models that are existing so far are based on the probability estimation, which do not always give good generation of data.in order to overcome this problem AI techniques have been applied. In this paper suitable intelligent predictor is developed and implemented using a Belgaum region database as the input using ANN for solar irradiation., to develop a hardware board which can be used for real time predictors of solar irradiation in areas where there no stations.
Keywords: Global solar irradiation, ANN.
Scope of the Article: FPGAs