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@article{148319, author = {Rosmy Johnson and Sajay Saju and Grace Dias and Sreelakshmi K. V. and Sunil V. Chandran }, title = {IoT Based Power Factor Correction }, journal = {International Journal of Innovative Research in Technology}, year = {}, volume = {6}, number = {1}, pages = {337-339}, issn = {2349-6002}, url = {https://ijirt.org/article?manuscript=148319}, abstract = {In this era of technology power consumption and depleting resources for energy production is a major concern. It is important to eliminate losses, deliver quality power at the least possible tariff rates. Majority of the loads in industries are inductive in nature and they include transformers, motors, induction motors, stamping machines, machine tools and presses etc. These loads are said to consume extra power to maintain the magnetic field. That further results in increased bills and higher consumption rates. This condition can be identified by a lagging power factor. These losses in power factor have much importance in the industries as well as in the domestic units. The idea is to upgrade the power factor correction using IoT so as to operate it automatically in the power system and also to help understand the variation of power with respect to various load types. This would further enable efficient power management, power analysis and careful future designs for further expansions. Thus online power monitoring is enabled along with conventional power factor metering.}, keywords = {Power factor, Arduino, Relay, Reactive Power, IoT}, month = {}, }
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