Smart Meter using Big Data in IoT
Somalina Chowdhury1, Santanu Kumar Sen2
1Somalina Chowdhury*, Assistant Professor Principal Dept. of Computer Applications, GNIT Kolkata, West Bengal
2Prof. (Dr.) Santanu Kumar Sen, Assistant Professor Principal Dept. of Computer Applications, GNIT Kolkata, West Bengal
Manuscript received on October 05, 2020. | Revised Manuscript received on October 20, 2020. | Manuscript published on October 30, 2020. | PP: 359-362 | Volume-10 Issue-1, October 2020. | Retrieval Number: 100.1/ijeat.A18901010120 | DOI: 10.35940/ijeat.A1890.1010120
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Abstract: : Nowadays Green energy or energy efficiency has become one of the key concerns of the people. In this era Smart Grid with Internet of Things has took a vital role. Here distributed system with Smart Grid principle is being discussed. Unlike traditional Grid, Smart Grid are bidirectional in nature. One of the important component of Smart Grid is Smart Meter. In this paper we will focus on the vast data handled by Smart Meter using Big Data. The paper will focus on efficient energy management and how tactical decision making is done by Big Data to improve the overall Smart Grid performance. Data is collected through sensors especially wireless sensors are used. A vast amount of data is collected, analyzed, and processed to retrieve information. This will increase the business prospects and will be cost effective in future. Issues like instability, blackouts, etc will be under controlled. In traditional process of meter reading collecting usage and generating bill is the vital issue done by manually visiting the individual location which is now automated. Smart Meter works with real time data. It will be shown how Big Data will improve customer relation as well as improves social welfare. Thus proper techniques of data mining is used to retrieve data but with high data security. Mesmerising of various current technology is done here to get ultimate information about energy consumption and also to maintain a balance among customers and utilities.
Keywords: Smart Grid, Smart Meter, Internet of Things (IoT), Big Data, Green Energy, Energy consumption, Wireless Sensor Network (WSN), Wireless Sensor, Business Intelligence