Iot Based Solar Power Monitoring And Prediction Using Cuckoo Optimized LSTM

Author(s):  
Sakthivel B ◽  
Jeyapandiprathap R ◽  
Jeyamurugan M ◽  
Narmadha G
Keyword(s):  
Author(s):  
Maisagalla Gopal ◽  
T Chandra Prakash ◽  
N Venkata Ramakrishna ◽  
Bonthala Prabhanjan Yadav

2021 ◽  
Vol 9 (2) ◽  
pp. 27-36
Author(s):  
Sheikh Hasib Cheragee ◽  
Nazmul Hassan ◽  
Sakil Ahammed ◽  
Abu Zafor Md. Touhidul Islam

We have Developed an IoT-based real-time solar power monitoring system in this paper. It seeks an opensource IoT solution that can collect real-time data and continuously monitor the power output and environmental conditions of a photovoltaic panel.The Objective of this work is to continuously monitor the status of various parameters associated with solar systems through sensors without visiting manually, saving time and ensures efficient power output from PV panels while monitoring for faulty solar panels, weather conditionsand other such issues that affect solar effectiveness.Manually, the user must use a multimeter to determine what value of measurement of the system is appropriate for appliance consumers, which is difficult for the larger System. But the Solar Energy Monitoring system is designed to make it easier for users to use the solar system.This system is comprised of a microcontroller (Node MCU), a PV panel, sensors (INA219 Current Module, Digital Temperature Sensor, LDR), a Battery Charger Module, and a battery. The data from the PV panels and other appliances are sent to the cloud (Thingspeak) via the internet using IoT technology and a Wi-Fi module (NodeMCU). It also allows users in remote areas to monitor the parameters of the solar power plant using connected devices. The user can view the current, previous, and average parameters of the solar PV system, such as voltage, current, temperature, and light intensity using a Graphical User Interface. This will facilitate fault detection and maintenance of the solar power plant easier and saves time.


2015 ◽  
Vol 16 (5) ◽  
pp. 413-419 ◽  
Author(s):  
Tanveer Ahmad ◽  
Qadeer Ul Hasan ◽  
A. Malik ◽  
N. S. Awan

Abstract This paper presents design and development of solar power monitoring and control through GSM network in rural application. This system includes a GSM mobile and GSM hardware installed at solar system with 12VDC power for solar power monitoring along with temperatures (ambient and battery). This system is designed to conceptualizing how much solar power transferred to batteries and temperature conditions for that instant of time. Hardware is developed for the continuous update to the targeted station using GSM. The developed hardware gets the signal from the installed location calculate the real time power and temperature parameters. This information transferred to targeted mobile station through GSM interface using texting service (SMS). At the receiving end, power monitoring system is used to maintain the power to batteries profile locally. An easy, cost proficient and consistent working model of whole system has been developed which may be incorporated for data acquisition. Also the same system can use for uninterrupted power supply (UPS) systems.


Teknik ◽  
2021 ◽  
Vol 42 (1) ◽  
pp. 35-44
Author(s):  
Riza Alfita ◽  
Koko Joni ◽  
Fajar Dwika Darmawan

Internet of Things technology in this research is utilized on solar power plant (Case Study: Electrical Engineering Department of Trunojoyo Madura University) as a battery power monitoring and load control system. All of these systems were built to make it easier for users to manage the power consumption while preventing battery damage so that lifetime can last longer and the use of PLTS than more optimal. All of these systems are designed to use several integrated components with their respective functions, including Raspberry as a data processing, smartphone as an interface, and sensors actuator as input-output. From the results of the monitoring accuracy test, the average error value is 1.56%. After ensuring the system has a high level of accuracy, The charge-discharge test is conducted in real-time for 7 days, which shows that the system works according to the research objectives as evidenced by the nothingness of power consumption exceeding the SOC standard limit battery used by 30%. Meanwhile, for the control system test, the wifi connection has the fastest average delay for 10,30 s, provider A 11,17 s, and provider B 12,60 s.


2020 ◽  
Vol 7 (2) ◽  
pp. 66-70
Author(s):  
Mukhamad Angga Gumilang ◽  
Hariyono Rakhmad

Utilization of solar cells can be used as a source of residential energy as a backup power source other than relying on supplies from PLN. In previous studies have not developed a system that monitors the power obtained from the utilization of solar cells. As a power monitoring tool a microcontroller and Internet-based (IOT) device is needed to provide information on the availability of backup power in the installation of solar power plants in homes. In this research, a PLTS design that is equipped with an IOT-based power monitoring system uses Arduino Uno and Thinkspeak. The results of the design can be applied to real conditions for the installation of solar power plants for residential homes.


2019 ◽  
Vol 7 (8) ◽  
pp. 212-215
Author(s):  
Vishal S. Patil ◽  
Aparna P. Morey ◽  
Gauri J. Chauhan ◽  
Suraj S. Bhute ◽  
Tejaswini S. Borkar

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