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- W2937888103 abstract "Electrical Energy demand and generations are growing rapidly. Utilization of generated energy, effective usage, and saving energy is a recent challenge to meet the fastest growing energy demand. Statistical and a clear picture of total energy consumptions is the foremost criteria to research and to design optimum energy usage practice. Monitoring individual loads in the industrial plant rather monitoring the whole plant solely is results impactful to get precise energy statistics and utilized usage. Even in the recent past, individual consumer level, energy usage information, bill predictions, economic bill planning, real-time and historical power consumptions data is found demanded economic power usage planning. Therefore, real-time electrical power consumptions, environment monitoring is essential for both industries and general consumers to maintain their expected energy demand level. This paper discusses micro-controller and Raspberry Pi based smart monitoring, measurements, data logging, online monitoring, remote access, and statistical analysis system. The pilot Implementations in a data center monitoring (150 KVA) system found more productive in determining different factors like peak hour or energy efficient operations." @default.
- W2937888103 created "2019-04-25" @default.
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- W2937888103 date "2019-02-01" @default.
- W2937888103 modified "2023-09-23" @default.
- W2937888103 title "Design and Implementation of Raspberry Pi Based Real time Industrial Energy Analyzer" @default.
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- W2937888103 doi "https://doi.org/10.1109/ecace.2019.8679392" @default.
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