Automatic Electricity Bill Calculation Using Arduino

Vijayaragavan, M.; Darly, S. S.

doi:10.1109/icsss.2019.8882859

Cited by 2 publications

(1 citation statement)

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“…Here, the cost of electrical bill at a given household is calculated based on energy charge ($/kWh) and peak power charge ($/kVA) [26]. The energy charge is applied to the total volume of consumed energy by the household devices, e.g., 100 kWh.…”

Section: Cost Analysismentioning

confidence: 99%

Demand Based Cost Optimization of Electric Bills for Household Users

Tawalbeh¹,

Malkawi

Abusamaha

et al. 2021

Int. j. commun. netw. inf. secur.

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Abstract- Internet of Things (IoT) is increasingly becoming the vehicle to automate, optimize and enhance the performance of systems in the energy, environment, and health sectors. In this paper, we use Wi-Fi wrapped sensors to provide online and in realtime the current energy consumptions at a device level, in a manner to allow for automatic control of peak energy consumption at a household, factory level, and eventually at a region level, where a region can be defined as an area supported by a distinct energy source. This allows to decrease the bill by avoiding heavily and controllable loads during high tariff slice and/or peak period per household and to optimize the energy production and distribution in a given region. The proposed model relies on adaptive learning techniques to help adjust the current load, while taking into consideration the actual and real need of the consumer. The experiments used in this study makes use of current and voltage sensors, Arduino platform, and simulation system. The main performance indexes used are the control of a peak consumption level, and the minimum time needed to adjust the distribution of load in the system. The system was able to keep the maximum load at a maximum of 10 kW in less than 10 seconds of response time. The level and response time are controllable parameters.

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Section: Cost Analysismentioning

confidence: 99%