Open AccessA Novel Scheduled Power Management using Iot Controlled Energy Meter
Author(s) -
C. Pavithra,
Y. Pavithra,
R. Geethamani,
V. Sankari
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a2087.129219
Subject(s) - computer science , energy consumption , tariff , internet of things , energy (signal processing) , embedded system , electricity meter , tripping , function (biology) , energy management , real time computing , power (physics) , electrical engineering , engineering , business , statistics , physics , mathematics , quantum mechanics , evolutionary biology , international trade , biology , circuit breaker
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.