A Novel Scheduled Power Management using Iot Controlled Energy Meter
C. Pavithra1, Y. Pavithra2, R. Geethamani3, V. Sankari4
1C. Pavithra, Assistant Professor, Department of EEE, Sri Krishna College of Engineering and Technology, Coimbatore (Tamil Nadu) India.
2Y. Pavithra, PG Scholar, Department of EEE, Sri Krishna College of Engineering and Technology, Coimbatore (Tamil Nadu) India.
3R. Geethamani, Assistant Professor, Department of EEE, Sri Krishna College of Engineering and Technology, Coimbatore (Tamil Nadu) India.
4V. Sankari, PG Scholar, Department of EEE, Sri Krishna College of Engineering and Technology, Coimbatore (Tamil Nadu) India.
Manuscript received on November 23, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 3565-3567 | Volume-9 Issue-2, December, 2019. | Retrieval Number: A2087109119/2019©BEIESP | DOI: 10.35940/ijeat.A2087.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this proposed system, scheduled power management is to reduce the excess use of energy and to reduce the energy tariff of the domestic consumers. The price differs, if one unit exceeds the value fixed by tariff 1a plan. For domestic customers, scheduling of energy is done by using energy meter which is controlled by IOT and Arduinos. If the consumer uses excess of scheduled energy the user gets an SMS and the circuit will be tripped automatically, in case if there is necessity for more energy, we switch to normal function from the scheduled function which can be maintained by IoT. The consumer can check the energy consumption in webpage. The internet of things paradigm has been proposed in order to check the energy consumption and also for automation purposes like tripping the circuits when energy usage is increased. A very low cost, advanced embedded hardware has been used to make the prototype model.
Keywords: IOT (internet of things), Tariff, Scheduled energy, Arduino.