Promoting use of Solar energy using Smart Meter

Anant Gupta, Imran Tasgavkar, Pranav Murali, Utsav Jain, Gresha Bhatia


Energy has become a detrimental factor for survival and progress of anthropology. For the past decade, we have become totally dependent on  unlimited and continuous supply of  electrical energy. However, the generation of such huge amount of electrical energy is done from nonrenewable sources of energy like coal, oil gas etc. This way of producing electricity involves heavy consumption of non-conventional sources of energy and has given rise to the ominous problem of global warming. Thus, energy conservation has become an important concern all over the world. Switching to the use of renewable sources like solar, wind and hydro energy  has become a recent trend. This is the reason why our project, aims to maximise the use of solar energy by analyzing the present system such that it can be beneficial for the economy of our country. The analysing process is done using the smart meter, which captures the readings on an hourly basis.

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Alahakoon, Damminda, and Xinghuo Yu. "Advanced analytics for harnessing the power of smart meter big data." In Intelligent Energy Systems (IWIES), 2013 IEEE International Workshop on, pp. 40-45. IEEE, 2013.

Zeman, Miro. "Integrating electricity from solar energy in electricity power system." In Electrical and Power Engineering (EPE), 2014 International Conference and Exposition on, pp. 034-037. IEEE, 2014.

Keka, Ilir, and Betim Çiço. "Statistical treatment for trend detection and analyzing of electrical load using programming language R" In Embedded Computing (MECO), 2015 4th Mediterranean Conference on, pp. 216-219. IEEE, 2015.

Haben, S., Singleton, C. and Grindrod, P., 2016. Analysis and clustering of residential customers energy behavioral demand using smart meter data. IEEE Transactions on Smart Grid, 7(1), pp.136-144.

Chen, Tao, Antti Mutanen, Pertti Järventausta, and Hannu Koivisto. "Change detection of electric customer behavior based on AMR measurements." In PowerTech, 2015 IEEE Eindhoven, pp. 1-6. IEEE, 2015.

Patent „Analytics for consumer power consumption”

Aljamea, Moudhi M., Ljiljana Brankovic, Jia Gao, Costas S. Iliopoulos, and M. Samiruzzaman. "Smart Meter Data Analysis." In Proceedings of the International Conference on Internet of things and Cloud Computing, p. 22. ACM, 2016

Malviya, Ayushi, Amit Udhani, and Suryakant Soni. "R-tool: Data analytic framework for big data." In Colossal Data Analysis and Networking (CDAN), Symposium on, pp. 1-5. IEEE, 2016.

Alahakoon, D. and Yu, X., 2016. Smart electricity meter data intelligence for future energy systems: A survey. IEEE Transactions on Industrial Informatics, 12(1), pp.425-436.