Electrical Energy Monitoring System Research Articles

Electrical Energy Monitoring and Analysis System at Home using IoT-based Prophet Algorithm

Electrical energy is one of the necessities of human life, especially in modern society in urban areas. With a monitoring device for electrical energy consumption using IoT technology, the results of the development show that the monitoring system works well, but the results show that current and voltage measurements are still less accurate. Therefore, in this study, an Electrical Energy Analysis and Monitoring System were developed using the IoT-Based Prophet Algorithm. Data collection was obtained from electrical energy using the PZEM-004T module sensor device used at home and the energy data obtained were stored in a MySQL database. This PZEM data retrieval will appear in real time on the Monitoring Website. The dataset was processed by implementing the Prophet Algorithm, evaluating the model and visualizing the prediction results on the analysis website. Testing using Mean Absolute Percentage Error (MAPE). For design, this system uses energy data and data retrieval time as parameters in the monitoring system for the use of electrical energy at home. Analysis of data taken from electrical energy monitoring was predicted by the model created by the Prophet Algorithm and tested with MAPE to see how accurate the predicted value is in the Prophet Algorithm model. Predictions in this study get an error value of less than 10%, namely 6.87%, which means it is very accurate in predicting the prophet algorithm at home.

Design of NB-IoT Based Household Light Electric Energy Monitoring System

Energy is a vital part of human life, especially in the digital era that requires a lot of energy. Monitoring energy use, especially electricity, is an alternative step to improve energy efficiency. This research aims to develop and implement an NB-IoT-based electrical energy monitoring. The proposed system allows users to monitor, analyze their electrical energy consumption efficiently. Then the Quality-of-Service test results at 500 m get very good results, with the results: average RSSI of -62.8 dBm, average latency of 3.0667 seconds, and PDR ratio of 100%. Quality of Service testing at 1 km gets pretty good results, with the results: average RSSI of -68.933 dBm, average-latency 3.24138 seconds, and PDR ratio of 90%. Quality of Service testing at 1.5 km gets fewer good results, especially on RSSI and PDR parameters, with the results: average RSSI of -84.80 dBm, average-latency 3.4667 seconds, and PDR ratio of 83.33%. The NB-IoT network is suitable for on-grid electricity meters in urban areas with an optimal distance of 500 to 1 km, while at more than 1.5 km it is better used for household scale.

SISTEM MONITORING DAYA LISTRIK MENGGUNAKAN INTERNET OF THING (IOT) BERBASIS MOBILE

This research aims to develop an electrical energy monitoring system using Internet of Things (IoT) technology and based on mobile applications to increase the efficiency of electrical energy use and reduce energy waste. The context of this research is the increasingly urgent need to monitor and optimize electrical energy consumption, both in domestic and industrial environments, as part of efforts to reduce environmental impact and Operating costs related to electricity consumption. The methodology used in this study includes the design and implementation of an IoT system consisting of energy sensors and hardware connected to the Internet, as well as the development of a mobile application as a user interface. Energy consumption data recorded by the sensors will be transmitted wirelessly to mobile applications for real-time monitoring and analysis. The results of this study show that an IoT-based electrical energy monitoring system is capable of providing accurate and timely information on electrical energy consumption, thereby helping users increase energy efficiency and Reduce operating costs related to electricity consumption. Additionally, the system allows users to easily monitor and control electrical energy consumption through their mobile devices, which in turn can contribute to more resilient and sustainable energy management. This research is important in efforts to create a more sustainable and energy-efficient environment, as well as raise public awareness about electrical energy consumption.

Sistem Monitoring Pemakaian Energi Listrik Pada Kamar Kost Menggunakan Aplikasi Blynk Berbasis Internet of Things

Currently, the electrical energy monitoring system can only be monitored by PLN. Electricity users can usually only see the amount of usage each month without knowing electricity usage at any time. Excessive use of electricity will cause payments to increase. Therefore, this research was conducted to monitor the electrical power used in boarding houses via an internet connection using the blynk application. This study aims to determine the amount of electrical energy consumption every day. This lot-based monitoring tool uses the PZEM-004T sensor to read the amount of electrical energy consumption such as voltage, current, power and energy. As for the media interface that displays the amount of electrical energy consumption using the LCD and the Blynk application.

IMPLEMENTASI SISTEM MONITORING PRODUKSI ENERGI PLTS BERBASIS PROTOKOL MODBUS RTU DAN MODBUS TCP

The use of renewable energy sources is currently starting to grow rapidly in line with the need for environmentally friendly power sources. Solar power plants are a choice of solutions for the community, especially those in areas that have not been reached by the electricity grid. The production of the resulting electrical energy is highly dependent on the capacity of the installed solar panels. In order to monitor solar power plants electricity production and usage load, a facility is needed that can provide real-time information. Besides that, it can easily be accessed remotely by utilizing a network that uses the TCP/IP protocol. The problem that arises then is that the sensor data obtained from the readings must comply with the standard parameters that apply to all sensor equipment. The Modbus RTU and Modbus TCP protocols are the right choice to answer this problem. This research will discuss the implementation of the Modbus RTU/TCP protocol within the scope of solar power plants. Thus, solar power plants electrical energy monitoring system allows it to be applied to networks that are located far from the control or monitoring center.

IMPLEMENTATION AND ANALYSIS OF THE INTERNET OF THINGS SYSTEM FOR ELECTRICAL ENERGY MONITORING AT INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Measurement of electric power usage is carried out using simple measuring instruments and the recording is still manual so that the data obtained is not real-time and accurate. This research aims to implement an electrical energy monitoring system using the Internet of Things (IoT) to obtain real-time information related to electrical energy in the education industry. This research uses an Industrial Grade Power Meter to get a more accurate measurement value. To connect the Power Meter device with the IoT system, this research uses Modbus RS485 communication and a mini PC to process data from the meter, so that the data can be sent to a server using the MQTT communication protocol, and displayed on the Dashboard. The test results of this study indicate that the monitoring system can be implemented and the system runs well with end-to-end measurement results. From the measurement results, the current value (3 phase average) has an average deviation of 0.001 Amperes, Voltage (3 phase average) has an average deviation of 0.519 V, Power factor has an average deviation of 0.012, Active power has a deviation average of 0.000 kW, reactive power with an average deviation of 0.000 kVAR, apparent power with an average deviation of 0.000 kVA and frequency with an average deviation of 0.124 Hz. Then the MQTT protocol has a quality of service with index 4 based on TIPHON standardization on delay, throughput, and packet loss parameters, and index 3 based on TIPHON standardization on jitter parameters.

Sistem Monitoring dan Analisis Penggunaan Energi Listrik Rumah Berbasis Internet of Things Menggunakan Prophet Algorithm

Electrical energy is one of the necessities of human life, especially in modern society in urban areas. With a monitoring device for electrical energy consumption using IoT technology, the results of the development show that the monitoring system works well, but the results show that current and voltage measurements are still less accurate. Therefore, in this study, an Electrical Energy Analysis and Monitoring System was developed using the IoT-Based Prophet Algorithm. Data collection was obtained from electrical energy using the PZEM-004T module sensor device used at home and the energy data obtained were stored in a MySQL database. This PZEM data retrieval will appear in real-time on the Monitoring Website. The dataset was processed by implementing the Prophet Algorithm, evaluating the model and visualizing the prediction results on the analysis website. Testing using Mean Absolute Percentage Error (MAPE). For design, this system uses energy data and data retrieval time as parameters in the monitoring system for the use of electrical energy at home. Analysis of data taken from electrical energy monitoring was predicted by the model created by the Prophet Algorithm and tested with MAPE to see how accurate the predicted value is in the Prophet Algorithm model. Predictions in this study get an error value of less than 10%, namely 6.87%, which means it is very accurate in predicting the prophet algorithm at home.

Electrical Energy Monitoring and Control System In Boarding Rooms Based On The Internet of Things

Electrical energy is an essential requirement in various activities today. Almost all electronic devices that are used require electrical energy to operate. Therefore, the public needs to know how much electrical energy is used to maintain the quality of electronic devices. Electrical energy monitoring is a process of monitoring and a source of information on electrical energy that can be viewed directly or remotely with real-time output results. Electrical energy monitoring is designed as a routine process of collecting or measuring information source data that determines the level of electricity consumption achievement in real-time. By using real-time information technology, the operating conditions of the hardware system and programs have clear timeframes. Based on this background, the authors want to conduct research designed to monitor and obtain sources of information on the results of the use of electrical energy in boarding rooms, of course this monitoring tool is based on microcontrollers and the Internet of Things (IoT), with the creation of this monitoring of electrical energy, with all parameters electricity such as voltage, current, electric power, electrical energy, and power factor used can be measured using the PZEM-004T sensor. Monitoring electrical energy using the NodeMCU platform as an input and output processor will then be displayed on the control panel display and internet of things (IoT) based Blynk server. From these problems, the authors are interested in conducting research that aims to monitor and obtain sources of information on the use of electrical energy in boarding rooms. This monitoring tool is based on a microcontroller. In addition, this monitoring tool is also based on IoT so that power consumption can be monitored directly and remotely with real-time output results. From the results of the measurement test using the PZEM-004T sensor, it was obtained that the difference in the value of the deviation that occurred was relatively small for voltage 0.538%, current 0.007%, electric power 0.383%, electrical energy 0.005% and power factor 0.039%, it was concluded that the PZEM-004T sensor could be used to further observations. At the same time, the real-time control panel output results to the Blynk server using the NodeMCU ESP8266 produce real-time work, as well as the use of relays as controllers of the tools that have been made, have been tested and obtained satisfactory results.

Design of a Monitoring System for Power-consumption Devices Based on Modbus Protocol

To better monitor the usage status of electric energy for production and living devices, the paper has put forward an electric energy monitoring system based on Modbus protocol, starting by analyzing the demand for monitoring and management of users’ electric energy. A three-layer structure has been used in the system, which consists of the sensing layer, control layer, and application layer. The lower computer of the sensing layer used the one-master-multi-slave mode to collect the power data of multiple devices in the bus in real time and transmits the voltage, current, power consumption, and other data of power-consumption devices to the host through the RS-485 interface, Modbus protocol, and GPRS network. Meanwhile, the lower computer interacts with the remote user monitoring terminal to realize the monitoring and management of power consumption data of the devices. The test has shown that the system can steadily monitor and manage the power consumption status of the devices in real time, and can be applied to energy saving, monitoring of power-consumption devices, property management, and other fields, which have good application prospects.

Remote Electrical Parameters Measurement Using The Blynk Aplication

The recording of the amount of electrical energy consumed by the public on postpaid electricity customers often experiences reading errors by officers. The contributing factor is the absence of occupants of the house when recording the amount of power used by the officer so that the officer records the use of electrical power based on the average previous use. Therefore, to find out the amount of electrical energy that is being used, a periodic electrical energy monitoring system is needed. This device is designed to support monitoring the use of electrical energy in household consumers. Arduino uno as a microcontroller based atmega28, current sensor and voltage sensor are supporting devices used as a monitoring system for the use of electrical energy that can provide information on electrical parameters such as voltage, current, power values, using the blynk application by utilizing the development of Internet of Think technology. IoT) so that the use of electrical power can be seen anytime and anywhere via the internet network. This tool has an average reading error value of 13.68% for current and 14.06% for power. Based on these data, this system is very suitable to be used as a monitoring of electric power consumption because the error generated is quite small.

Development and realization of the electric energy monitoring system for cloud-based intelligent buildings

With the in-depth development of cloud computing technology and the continuous application of various new technologies in the process of modern building construction, the application of embedded technology, communication sensing technology, cloud computing technology and other technologies to create energy-saving building energy monitoring systems has become a research hotspot. This paper first compares and analyzes the network structure of the traditional building energy monitoring system and cloud-based building energy monitoring system, and then focuses on the overall architecture of the system and the design and implementation of the terminal intelligent monitoring unit. On the one hand, the development of building energy monitoring system based on cloud computing realizes cloud processing of building energy monitoring. On the other hand, the control strategy formulated by big data effectively improves the overall energy saving efficiency of the building.

Information Acquisition Function of Intelligent Meter Measurement and Control Unit in Electric Energy Information Acquisition and Monitoring System

The traditional smart meter is relatively solid in the hardware architecture design, and gradually can not meet the needs of energy measurement and control in the future. After the in-depth analysis of the metering function will be affected by various external factors, the paper designs a new hardware structure of "dual core- one expansion module" smart meter, through the actual scheme of separation of metering core and management core The measurement and control chip with various parameters is integrated in the expansion module, which is processed and calculated by the management core, so as to realize the localization protection and alarm function of intelligent meters. Combined with the application status of energy Internet, this paper designs the position and function support scheme of the new smart meter in the energy network, and verifies the practical problems to be solved after adding a variety of measurement and control function modules. The research results have a good reference significance for the development of smart meters and meter master control in the future.

Electrical Energy Monitoring System and Automatic Transfer Switch (ATS) Controller with the Internet of Things for Solar Power Plants

Internet of Things is a technology that connects communication devices with electronic devices that are used everyday using the internet as a medium to communicate between devices and users. The use of IoT technology can be implemented in solar power generation systems. The IoT technology implemented in this study is to monitor and control the use of batteries in solar power plants. Current technology, battery usage can only be monitored closely to get information about battery capacity and battery usage. When the battery is empty or cannot be used to meet electricity needs, it is not equipped with a diversion of existing electricity sources such as PLN electricity. So, we need a renewable technology to get information about batteries and transfer of electricity sources that can be accessed remotely and can be accessed via the internet. The design of this smart monitoring system has stages, namely planning,design , coding , and test . The results of this study are able to see data in the form of battery capacity, electric current and electric power used in Android applications. The data is obtained from sensors that are on smart monitoring connected to the internet network and stored on a database server. Then the data residing on the database server will be retrieved by the application to be displayed to users in the form of graphics and usage lists. Furthermore, the Automatic Transfer Switch system works if the battery capacity sensor has read less than 11.4V then the relay will automatically transfer electricity to PLN. The Android smartphone application is used as a monitoring tool to view data in realtime.

Monitoring electrical energy in electronic energy audits through internet of things technology

Energy conservation, especially electricity, can be done by conducting an energy audit. Energy audit activities can analyse and find energy-saving opportunities from energy use. This study developed a prototype of a wireless electrical energy monitoring system on a laboratory scale to monitor the use of electrical energy from both electrical equipment using a microcontroller as a sensor node. These nodes have installed several sensors, namely the current sensor, humidity sensor, temperature sensor and light sensor. The protocol used in communication between nodes and servers is the HTTP protocol in the Internet of Things design that can communicate using internet network intermediaries. Data on the server can be monitored in real time using the application on the client side.

Power analyzer based arduino-uno validation using Kyoritsu KEW 6315 and Hioki 328-20

Online quality analysis technique of energy consumption is getting easier. It is because the sensor module and microprocessor are getting more simple, complex and possess high accuracy. This study offers an alternative to online electrical energy consumption monitoring technique by using Arduino. It is interesting to know the accuracy of the work of the Arduino-based energy quality monitoring system with high accuration measurments tool Kyoritsu power analyzer KEW 6315 and Hioki 328-20. The method of this research is the design of 1 phase electrical energy monitoring system by using current sensor type SCT-013 and voltage sensor in the form of transformator. EmonLib Library was used for processing voltage and current data in Arduino. The validation of measurement results was done by comparing the results of Arduino with Kyoritsu KEW 6315 and Hioki 328-20. The measurement reporting technique was displayed online based on the website. The results provide a clear picture of the measurement performance of the developed system, that the system has a quality of performance close to Kyoritsu type kew 6315 that against Hioki 328-20 with an average error below 5% is acceptable. The results of the measurement of electrical energy consumption had been successfully displayed in the form of a website-based energy report.

RANCANG BANGUN MONITORING ENERGI LISTRIK MENGGUNAKAN SMS BERBASIS MIKROKONTROLER ATMEGA328

Customer PT. PLN (Persero) has been getting prepaid and postpaid electric service programs, on postpaid electricity PT. PLN is still using conventional ways to monitor the electricity consumption of its customers. PLN officers must record meters, calculate and publish accounts to be paid by customers. In this study using electrical energy monitoring system using SMS that can measure and monitor the use of electrical energy in real time, using the method of direct measurement. Results from the current sensor readings and voltage sensors will be forwarded to the microcontroller to be converted into the amount of electrical energy consumption and the amount of payment in accordance with tariffs that have been determined PLN. The research was conducted in Basic Laboratory of Electrical Engineering, Laboratory of Energy Conversion, Laboratory of Workshop & Electrical Installation, Electrical Engineering Study Program, Faculty of Engineering, Udayana University.

Assessing the accuracy of electric energy monitoring system

Assessing the accuracy of electric energy monitoring system

Artificial Neural Network for Non-Intrusive Electrical Energy Monitoring System

<p> This paper discusses non-intrusive electrical energy monitoring (NIEM) system in an effort to minimize electrical energy wastages. To realize the system, an energy meter is used to measure the electrical consumption by electrical appliances. The obtained data were analyzed using a method called multilayer perceptron (MLP) technique of artificial neural network (ANN). The event detection was implemented to identify the type of loads and the power consumption of the load which were identified as fan and lamp. The switching ON and OFF output events of the loads were inputted to MLP in order to test the capability of MLP in classifying the type of loads. The data were divided to 70% for training, 15% for testing, and 15% for validation. The output of the MLP is either ‘1’ for fan or ‘0’ for lamp. In conclusion, MLP with five hidden neurons results obtained the lowest average training time with 2.699 seconds, a small number of epochs with 62 iterations, a min square error of 7.3872×10-5, and a high regression coefficient of 0.99050.</p>

Design of Electric Energy Monitoring System Based on MAXQ3180 Chip

To solve the problems of bulky, high cost and difficult maintenance existing in the electric parameters monitoring system currently, a new electric energy monitoring system is designed. In the system, MAXQ3180 chip can collect the voltage, current, power factor, harmonic and other parameters of the load. Then the relevant data can be collected and sent to AT89S52 microcontroller through SPI bus to saving and manipulating. Meanwhile, to achieve the goal of decentralized control and centralized management, the system can exchange the relevant data with upper computer by CAN bus communication mode. Then the accurate measurement and intelligent management of the electric parameter can be achieved.

Electrical Energy Monitoring and Control System for the Home

Electrical Energy Monitoring and Control System for the Home