Abstract
Discovering factors and relationships that affect the temperature of photovoltaic module panel is vital to solar energy based research in an attempt to generate green energy effectively. Despite the availability of visualization tools that assist in the discovery, they are not dedicated. They require some efforts, time and certain level of skills to gain benefits out of them. Thus, this research has designed and developed a dedicated application system called RAID Explorer to assist the researchers in their attempts to explore various factors that contribute to photovoltaic module temperature. With the system, discoveries are through observation that stimulates human cognitive ability. The system strength’s resides in its three main components, which are data entry, visualization and visual analytics. The components are flexible as such, visual interaction is intuitive and users are able to manage it with minimum instruction. They also enable personal customization as such judicious judgment can be made. For performance analysis, the system was implemented and utilized by Green Energy Research Centre (GERC), Universiti Teknologi MARA (UiTM), Malaysia to determine its functionality and usability. The findings show that RAID capabilities are beyond merely to discover the factors contributed to photovoltaic module temperature. In fact, it has successfully supported the discovering of various relationships in the photovoltaic dataset. Thus, RAID Explorer supports scientists’ need for flexible, speed and interactive exploration of huge photovoltaic dataset in relation to relationship discovery.
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References
Ramawan, M.K., Othman, Z., Sulaiman, S.I., Musirin, I., Othman, N.: A hybrid bat algorithm artificial neural network for grid-connected photovoltaic system output prediction. In: Proceedings of the 2014 IEEE 8th International Power Engineering and Optimization Conference, PEOCO 2014, pp. 619–623 (2014)
Hussain, T.N., Sulaiman, S.I., Musirin, I., Shaari, S., Zainuddin, H.: A hybrid artificial neural network for grid-connected photovoltaic system output prediction, pp. 108–111 (2014)
Imazawa, A., Naoe, N., Hanai, H., Nakajima, S.: Software application to help make discoveries based on air temperature data, pp. 276–281 (2016)
Sklar, E.: TR-2009005: Visual Analytics : A Multi-Faceted Overview (2009)
Chen, M., Ebert, D., Hagen, H., Laramee, R.S., Van Liere, R., Ma, K.-L., Ribarsky, W., Scheuermann, G., Silver, D.: Data, information, and knowledge in visualization. Comput. Graph. Appl. IEEE 29(1), 12–19 (2009)
Chen, C.: Visual analytics. In: Chen, C. (ed.) Mapping Scientific Frontiers, pp. 321–339. Springer, London (2013). https://doi.org/10.1007/978-1-4471-5128-9_9
Keim, D., Andrienko, G., Fekete, J.-D., Görg, C., Kohlhammer, J., Melançon, G.: Visual analytics: definition, process, and challenges. In: Kerren, A., Stasko, J.T., Fekete, J.-D., North, C. (eds.) Information Visualization. LNCS, vol. 4950, pp. 154–175. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-70956-5_7
Yafooz, W.M., Abidin, S.Z., Omar, N., Idrus, Z.: Managing unstructured data in relational databases. In: Conference on Systems, Process & Control (ICSPC), pp. 198–203. IEEE (2013)
Kamaruddin, N., Wahab, A., Quek, C.: Cultural dependency analysis for understanding speech emotion. Expert Syst. Appl. 39(5), 5115–5133 (2012)
Aliman, S., Yahya, S., Aljunid, S.A.: Innovation using rasch model in measuring influence strategies of spiritual blogs. In: 5th International Conference on Information and Communication Technology for the Muslim World (ICT4M), pp. 1–5. IEEE (2013)
Abdullah, N.A.S., Rusli, N.I.A., Ibrahim, M.F.: A case study in COSMIC functional size measurement: angry bird mobile application. In: IEEE Conference on Open Systems (ICOS), pp. 139–144 (2013)
Idrus, Z., Abidin, S.Z.Z., Omar, N., Idrus, Z., Sofee, N.S.A.M.: Geovisualization of non-resident students’ tabulation using line clustering. In: Regional Conference on Sciences, Technology and Social Sciences (RCSTSS) (2016)
Bagnall, D.M., Boreland, M.: Photovoltaic technologies. Energy Policy 36(12), 4390–4396 (2008)
Yu, Z.J., Fisher, K.C., Wheelwright, B.M., Angel, R.P., Holman, Z.C.: PVMirror: a new concept for tandem solar cells and hybrid solar converters. IEEE J. Photovolt. 5(6), 1791–1799 (2015)
Parida, B., Iniyan, S., Goic, R.: A review of solar photovoltaic technologies. Renew. Sustain. Energy Rev. 15(3), 1625–1636 (2011)
Hamakawa, Y.: Thin-Film Solar Cells: Next Generation Photovoltaics and Its Applications. Springer Science & Business Media, Heidelberg (2013). https://doi.org/10.1007/978-3-662-10549-8
Diaz, R.R., Jutinico Alarcón, A.L., Moreno, R.J.: Monitoring system for global solar radiation, temperature, current and power for a photovoltaic system interconnected with the electricity distribution network in Bogota. In: 2013 IEEE 56th International Midwest Symposium on Circuits and Systems (MWSCAS), pp. 485–488 (2013)
Luqman, M., Ahmad, S.R., Khan, S., Akmal, F., Ahmad, U., Raza, A., Nawaz, M., Javed, A., Ali, H.: GIS based management system for photovoltaic panels. J. Geogr. Inf. Syst. 7(4), 392–401 (2015)
Zhao, Y., Ball, R., Mosesian, J., de Palma, J.-F., Lehman, B.: Graph-based semi-supervised learning for fault detection and classification in solar photovoltaic arrays. IEEE Trans. Power Electron. 30(5), 2848–2858 (2015)
Trillo-Montero, D., Santiago, I., Luna-Rodriguez, J.J., Real-Calvo, R.: Development of a software application to evaluate the performance and energy losses of grid-connected photovoltaic systems. Energy Convers. Manag. 81, 144–159 (2014)
Kandil, S., Farag, H.E., Hilaire, L.S., Janssen, E.: A power quality monitor system for quantifying the effects of photovoltaic penetration on the grid, pp. 237–241 (2015)
Raidou, R.G., Eisemann, M., Breeuwer, M., Eisemann, E., Vilanova, A.: Orientation-enhanced parallel coordinate plots. IEEE Trans. Vis. Comput. Graph. 22(1), 589–598 (2016)
Idrus, Z., Abidin, S.Z.Z., Hashim, R., Omar, N.: Social awareness: the power of digital elements in collaborative environment. J. WSEAS Trans. Comput. 9(6), 644–653 (2010)
Idrus, Z., Abidin, S.Z.Z., Hashim, R., Omar, N.: Awareness in networked collaborative environment: a comparative study on the usage of digital elements. In: Proceedings of 9th WSEAS International Conference on Applications of Computer Engineering, pp. 236–241 (2010)
Acknowledgments
The authors would like to thank Universiti Teknologi MARA, Malaysia and Ministry of Higher Education Malaysia for the facilities and financial support under the national grant 600-IRMI/FRGS 5/3 (022/2017), FRGS/1/2017/1CT04/UITM/02/2.
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Idrus, Z., Abdullah, N.A.S., Zainuddin, H., Ja’afar, A.D.M. (2017). Software Application for Analyzing Photovoltaic Module Panel Temperature in Relation to Climate Factors. In: Mohamed, A., Berry, M., Yap, B. (eds) Soft Computing in Data Science. SCDS 2017. Communications in Computer and Information Science, vol 788. Springer, Singapore. https://doi.org/10.1007/978-981-10-7242-0_17
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