Design of Intelligent Power Load Automatic Monitoring System

Zhang, Taoyun; Shi, Haonan; Chen, Mingxia; Xue, Ling; Hao, Yanjun; Qu, Junsuo

doi:10.1109/eitce47263.2019.9095036

Cited by 2 publications

(1 citation statement)

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“…After 1990, there was a comprehensive promotion stage. After 1997, the power load control system was redefined as the power load management system (Zhang et al , 2019). Power load management system has entered a new stage of development, no longer just a single control and has begun to turn to management applications.…”

Section: Introductionmentioning

confidence: 99%

Study on load monitoring and demand side management strategy based on Elman neural network optimized by sparrow search algorithm

Fan

Sui

Peng

et al. 2022

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Purpose This paper aims to collect the energy consumption data and carry out energy consumption analysis of chemical enterprises, which is helpful to grasp the working conditions of each equipment accurately and to perfect the demand side management (DSM) for the user in the terminal. Design/methodology/approach The paper proposes a load monitoring system of chemical enterprises to collect the energy consumption data and carry out energy consumption analysis. An Elman neural network based on sparrow search algorithm is proposed to predict the power consumption change and distribution trend of enterprises in the future production cycle. The calculation efficiency and prediction accuracy have been significantly improved. Findings The paper analyzes the energy saving effect of energy efficiency management as well as “avoiding peak and filling valley” measures, and reasonable control requirements and assumed conditions are put forward to study the operability of enterprise energy saving measures from the DSM. Research limitations/implications Because of the chosen enterprise data, the prediction accuracy needs to be further improved. Therefore, researchers are encouraged to test the proposed methodology further. Practical implications The paper includes implications for the development of energy consumption analysis and load forecasting of chemical enterprises and perfects the DSM for the user. Originality/value This paper fulfills an identified need to study how to forecast the power load and improve the management efficiency of energy consumption.

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Section: Introductionmentioning

confidence: 99%

Study on load monitoring and demand side management strategy based on Elman neural network optimized by sparrow search algorithm

Fan

Sui

Peng

et al. 2022

View full text Add to dashboard Cite

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A Novel IoT Based Power Monitoring System

Suriya

Agusthiyar

Vijayalakshmi

et al. 2021

IOP Conf. Ser.: Mater. Sci. Eng.

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The use of IoT is increasing day by day; the significance and utilization is on the increase with more sophistication. In real world situation the electricity board calculates the bill amount and passed to the user mail or EB card. Now an efficient power monitoring system is proposed which uses a sensor at the heap to ascertain current, a circuit is utilized to figure voltage and with these two, power can be computed. Control qualities are put away in cloud database. Noninvasive current transformer sensor which receives the input from the live power supply and transfer the value to Voltage sensor, Nodemcu gets the value from voltage sensor and stores it in cloud database. With the help of cloud database user can monitor the power consumption value. Home automation can be achieved with the help of Relay Module and separate Nodemcu. Devices can be controlled from cloud dashboard. EB bill is a big challenging expenditure on day to day life. To overcome this situation Power Monitoring System will be very useful for the Average Salary people and also it overcomes the Electricity theft, unwanted Power wastage, avoidance of high power consumption devices.

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Design of Intelligent Power Load Automatic Monitoring System

Cited by 2 publications

References 0 publications

Study on load monitoring and demand side management strategy based on Elman neural network optimized by sparrow search algorithm

Study on load monitoring and demand side management strategy based on Elman neural network optimized by sparrow search algorithm

A Novel IoT Based Power Monitoring System

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