Abstract
The performance of the spectral matching algorithm of the solar simulator is affected by many factors, such as software performance, hardware performance, application environment and so on. The evaluation of spectral matching algorithm to application environment fitness is the premise of selecting the most suitable algorithm. The analytic hierarchy process (AHP) - fuzzy comprehensive evaluation method is used to evaluate the fitness. Firstly, the evaluation index system is established; secondly, the weight of each index is determined by AHP; finally, the fitness evaluation result is obtained by fuzzy comprehensive evaluation method. According to the comparison between the evaluation method of this paper and the experimental results of expert evaluation, it can be seen that the accuracy of the evaluation method in this paper is high, and the evaluation rules basically meet the requirements.
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References
Michel, D., Agnès, A.: Solar simulator. Sol. Energy 25(4), 381–383 (1997)
César, D., Ignacio, A., Sala, G.: Solar simulator for concentrator photovoltaic systems. Opt. Express 16(19), 14894–14901 (2008)
Sun, G., Zhang, G., Liu, S., et al.: Design of optical system for multifunctional solar simulator. Acta Photonica Sin. 44(10), 115–119 (2015)
Gaël, L., Roman, B., Wojciech, L., et al.: Experimental and numerical characterization of a new 45kWel multisource high-flux solar simulator. Opt. Express 24(22), A1360 (2016)
Shogo, K., Kurokawa, K.: A fundamental experiment for discrete-wavelength LED solar simulator. Sol. Energy Mater. Sol. Cells 90(18), 3364–3370 (2006)
Michael, S., Brice, P., Maximilien, B., et al.: Class AAA LED-based solar simulator for steady-state measurements and light soaking. IEEE J. Photovolt. 4(5), 1282–1287 (2017)
Scherff, M.L.D., Nutter, J., Fuss-Kailuweit, P., et al.: Spectral mismatch and solar simulator quality factor in advanced LED solar simulators. Jpn. J. Appl. Phys. 56(8S2), 08MB24 (2017)
Yu, H., Cao, G., Zhang, J., et al.: Solar spectrum matching with white OLED and monochromatic LEDs. Appl. Opt. 57(10), 2659–2662 (2018)
Zhang, Y., Dong, L., Zhang, G.: Simulation of high power monochromatic LED solar spectrum based on effective set algorithm. Chin. J. Lumin. 39(6), 862–869 (2018)
Xu, G., Zhang, J., Cao, G., et al.: Simulation of solar spectrum with high-power monochromatic light emitting diodes. Chin. J. Vac. Sci. Technol. 36, 1–5 (2016)
Saaty, T.L.: How to make a decision: the analytic hierarchy process. Eur. J. Oper. Res. 24(6), 19–43 (1994)
Svante, W.: Principal component analysis. Chemom. Intell. Lab. Syst. 2(1), 37–52 (1987)
Park, D.C., El-Sharkawi, M.A., Marks, R.J., et al.: “Electric load forecasting using an artificial neural network. IEEE Trans. Power Syst. 6(2), 442–449 (1991)
Zhang, M., Yang, W.: Fuzzy comprehensive evaluation method applied in the real estate investment risks research. Phys. Procedia 24, 1815–1821 (2012)
Saaty, T.L., Vargas, L.G.: Models, Methods, Concepts & Applications of the Analytic Hierarchy Process. International, vol. 7, no. 2, pp. 159–172 (2017)
Hadi, V., Houman, L., Ali, A.: Developing an ethics-based approach to indicators of sustainable agriculture using analytic hierarchy process (AHP). Ecol. Indic. 60, 644–654 (2016)
Jiao, J., Ren, H., Sun, S.: Assessment of surface ship environment adaptability in seaways: a fuzzy comprehensive evaluation method. Int. J. Nav. Arch. Ocean. Eng. 8(4), 344–359 (2016)
Liu, Y., Huang, X., Duan, J., et al.: The assessment of traffic accident risk based on grey relational analysis and fuzzy comprehensive evaluation method. Nat. Hazards 88(3), 1409–1422 (2017)
Yang, W., Xu, K., Lian, J., et al.: Multiple flood vulnerability assessment approach based on fuzzy comprehensive evaluation method and coordinated development degree model. J. Environ. Manag. 213, 440–445 (2018)
Liang, J., Jiang, W., Li, X.: An improvement on fuzzy comprehensive evaluation method and its use in urban traffic planning. J. Traffic Transp. Eng. 31(2), 173–202 (2002)
Vose, M.D.: The Simple Genetic Algorithm. Mit Press, Cambridge, vol. 1 (1999). 31–57
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The authors acknowledge the support provided by Qianbaihui Foundation (No. 2017-228195) for their visit during which this work was initiated.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Cao, F., Wang, J., Wang, Z., Huang, W., Zou, N. (2019). A Novel Spectral Matching Algorithm to Application Environment Fitness Evaluation Method. In: Jin, J., Li, P., Fan, L. (eds) Green Energy and Networking. GreeNets 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 282. Springer, Cham. https://doi.org/10.1007/978-3-030-21730-3_15
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DOI: https://doi.org/10.1007/978-3-030-21730-3_15
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