Retraction Note to: IOT based statistical performance improvement technique on the power output of photovoltaic system

Sivagami, P.; Jothiswaroopan, N. M.

doi:10.1007/s12652-022-03973-z

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“…Sivagami and Jothiswaroopan [26] employed the IoT in electrical system to improve the performance of PV system. The parameters like soiling, efficiency, hotspot, defects, shadow, orientation, insulation etc, were analyzed using the IoT devices, which will be redirected to the generation system to improve the quality of the power by degrading the fourth parameters.…”

Section: Related Workmentioning

confidence: 99%

Neuro-Fuzzy-Based IoT Assisted Power Monitoring System for Smart Grid

Ghosh

2021

IEEE Access

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The Internet of Things (IoT) is commonly utilized for intelligent energy control, industrial automation, and a host of other applications. IoT sensors are installed in various stages of the smart grid (SG) to track and manage network statistics for safe and efficient power delivery. The challenges in the integration of IoT-SG must be overcome for the network to function efficiently. An IoT-based smart grid energy monitoring system depending on neuro-fuzzy is proposed in this paper. At the core of the operator, a wireless sensor network (WSN) is employed to calculate and transfer the necessary parameters for the prediction model. This project revolves around an IoT-based energy monitor, which can track and analyze electrical parameters, including current, voltage, active power, and load power consumption. For the collection of realtime electrical data from users, the IoT-based program is used. Based on this data, consumers and electric power companies in the SG model can better control their usage to minimize billing costs. The results obtained show that the performance of hybridized solar/wind power plants will be improved with the help of ANFIS controller to a great extent. Results indicate efficiency of 99.74% in the proposed ANFIS control system.

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Section: Related Workmentioning

confidence: 99%

Neuro-Fuzzy-Based IoT Assisted Power Monitoring System for Smart Grid

Ghosh

2021

IEEE Access

View full text Add to dashboard Cite

show abstract

Retraction Note to: IOT based statistical performance improvement technique on the power output of photovoltaic system

Cited by 1 publication

References 0 publications

Neuro-Fuzzy-Based IoT Assisted Power Monitoring System for Smart Grid

Neuro-Fuzzy-Based IoT Assisted Power Monitoring System for Smart Grid

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