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Paper ID:IJSREM68207

Sensor-Based IoT Platform for Real-Time Monitoring and Cloud Visualization of Solar PV Generation and Battery Energy Storage System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM68207

Volume:

10 |

10 |

Oct 2026

Pages:

1-4

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM68207

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

VM

VIGNESH M

Department of EEE

K.L.N. College of Engineering, Pottapalayam

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LS

LOGABALAJI S

Department of EEE

K.L.N. College of Engineering, Pottapalayam

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KVK

KARTHICK V K

Department of EEE

K.L.N. College of Engineering, Pottapalayam

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D

Dr.S.VENKATESAN

Department of EEE

K.L.N. College of Engineering, Pottapalayam

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Mentors

M

Mr.R.Thangasankaran

Department of EEE

K.L.N. College of Engineering, Pottapalayam

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Abstract

Solar photovoltaic (PV) systems with battery storage are spreading quickly, yet many installations still rely on handheld meters and local displays that give no remote access, no historical record and little battery information. This paper presents a sensor-based Internet of Things (IoT) platform for real-time monitoring and cloud analytics of a solar PV generation and battery energy storage system. The architecture senses PV voltage and current, battery voltage, charging current and temperature, ambient temperature, humidity and solar irradiance, and estimates battery state of charge (SoC) by Coulomb counting. Conditioned data are sent over Wi-Fi or a GSM link to the ThingSpeak cloud, where live dashboards and exportable records build a historical dataset. A prototype based on a NodeMCU ESP8266, a DHT22 sensor, a light sensor and a voltage channel was tested outdoors. Every reading was uploaded to ThingSpeak, temperature stayed between about 31 °C and 32.5 °C, humidity between 61 % and 66 %, and the solar voltage rose with light intensity. The platform offers a low-cost, expandable base for fault detection, forecasting and battery analytics using machine learning.

KEYWORDS

Solar PV monitoring Internet of Things ThingSpeak battery energy storage state of charge cloud analytics.

Cite This Article

VIGNESH M, LOGABALAJI S, KARTHICK V K, Dr.S.VENKATESAN, Mr.R.Thangasankaran, "Sensor-Based IoT Platform for Real-Time Monitoring and Cloud Visualization of Solar PV Generation and Battery Energy Storage System," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 10, pp. 1-4, Oct 2026. https://doi.org/10.55041/IJSREM68207

Full Article/Conclusion

A sensor-based IoT platform for real-time monitoring and cloud analytics of a solar PV and battery storage system was designed and a prototype was built and tested. The prototype measured light intensity, voltage, temperature and humidity, uploaded every reading to ThingSpeak and produced live charts and an exportable dataset, replacing manual recording with remote, continuous monitoring. Future work includes adding battery current and temperature channels, completing SoC estimation by Coulomb counting, integrating the STM32 controller and GSM link, calibrating all sensors, and collecting a longer dataset. This dataset can then be used to train ML and DL models for power and irradiance forecasting, panel and sensor fault detection, and battery SoC, SoH and remaining useful life estimation.

References

[1] C. M. Nkinyam, C. O. Ujah, C. O. Asadu, B. Anyaka, and P. A. Olubambi, “Development of a low-cost monitoring device for solar electric (PV) system using internet of things (IoT),” Results in Engineering, p. 107324, 2025. [2] C. K. Rao, S. K. Sahoo, and F. F. Yanine, “Development of a smart cloud-based monitoring system for solar photovoltaic energy generation,” Unconventional Resources, vol. 6, p. 100173, 2025. [3] A. E. Bufwoj, H. Singh, S. Vig, T. S. Madosi, L. M. Makhetha, and H. P. Manwere, “Design and implementation of smart solar generation and IoT-enabled solar power monitoring system,” in Proc. 2025 Int. Conf. Electromechanical and Energy Systems (SIELMEN), IEEE, 2025, pp. 456–461. [4] V. A. Velvizhi and M. Anbarasan, “Real-time energy monitoring for renewable power systems: Enhancing stability and efficiency with IoT-based wireless sensor networks,” in Proc. 2025 Int. Conf. Computing and Communication Technologies (ICCCT), IEEE, 2025, pp. 1–4. [5] O. Khan, S. Qureshi, E. A. Ghakhar, A. U. Islam, M. Shah, M. A. Anwar, and M. W. Akhtar, “Real-time monitoring and control of renewable energy systems using wireless telecommunication and signal processing techniques for smart grids with energy storage,” Spectrum of Engineering Sciences, pp. 622–632, 2025. [6] S. Adhya, D. Saha, A. Das, J. Jana, and H. Saha, “An IoT based smart solar photovoltaic remote monitoring and control unit,” in Proc. 2016 2nd Int. Conf. Control, Instrumentation, Energy & Communication (CIEC), 2016, pp. 432–436. [7] K. S. Ng, C.-S. Moo, Y.-P. Chen, and Y.-C. Hsieh, “Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteries,” Applied Energy, vol. 86, no. 9, pp. 1506–1511, 2009. [8] G. L. Plett, “Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 1. Background,” Journal of Power Sources, vol. 134, no. 2, pp. 252–261, 2004.

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Publication Date

10/23/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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