eVolta: A Cloud-Based and Real-Time Electricity Usage Monitoring System

Authors

  • N. Magnaye College of Computer Studies, Mindoro State University, Bongabong Campus Bongabong, Oriental Mindoro 5211, Philippines
  • J. R. Saguid College of Computer Studies, Mindoro State University, Bongabong Campus Bongabong, Oriental Mindoro 5211, Philippines
  • R. M. Urate College of Computer Studies, Mindoro State University, Bongabong Campus Bongabong, Oriental Mindoro 5211, Philippines
  • M. D. Malco College of Computer Studies, Mindoro State University, Bongabong Campus Bongabong, Oriental Mindoro 5211, Philippines

DOI:

https://doi.org/10.54536/ajdsai.v1i1.4884

Keywords:

Cloud-Based System, Cost Estimation, Electricity Monitoring, Energy Conservation, Real-Time Tracking

Abstract

Electricity consumption in Oriental Mindoro remains inefficient, often leading to high costs. This study presents eVolta, a cloud-based, real-time electricity monitoring system for local adaptation. Unlike existing solutions, eVolta features direct integration with ORMECO to provide users timely maintenance and service interruption updates. It features live consumption tracking, estimated billing, and alerts when usage limits are exceeded. The system ensures secure access through OTP-based authentication. Developed using the Agile methodology, eVolta combines hardware and software for a user-focused experience. Its effectiveness was assessed by 100 respondents using the ISO/IEC 25010 quality model, yielding an overall mean score of 3.625—classified as “Very Effective” across all eight attributes: Functional Suitability, Performance Efficiency, Compatibility, Usability, Reliability, Security, Maintainability, and Portability. eVolta supports energy efficiency, cost reduction, and informed usage. Future improvements may include renewable energy integration, enhanced data visualization, and stronger security to promote energy conservation and engagement further.

References

Aquino, M., & Bernal, F. H. (2024). Consumer awareness and willingness level at Banlat gas stations regarding the Biofuel Act: Bases for sustainable energy transition and education strategies. International Journal for Multidisciplinary Research. https://doi.org/10.36948/ijfmr.2024.v06i03.19737

Arduino Documentation. (2023). Retrieved from https://www.arduino.cc/reference/en/

Cham, M. R. M. (2022). The Philippine power sector: Issues and solutions. The Philippine Review of Economics, 44(1), 33–63. http://pre.econ.upd.edu.ph/index.php/pre/article/download/218/631

Choudhari, A., Gawai, J., Lekurwale, A., Ranglani, S., & Dhongde, P. (2022). A mobile app for smart electricity usage monitoring. In 2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS) (pp. 1667–1673). IEEE. https://doi.org/10.1109/ICAIS53314.2022.9742787

Department of Energy (DOE). (2024). Power outlook and national grid resilience plan 2024. https://www.doe.gov.ph

Dominitz, S., Parush, A., & Metcalfe, D. (2023). Domestic electricity consumers and the interactive bill: Design intervention for improved energy literacy and empowerment. Energy Research & Social Science, 125, 103209. https://doi.org/10.1016/j.erss.2023.103209

Gajdzik, B., Jaciow, M., Hoffmann-Burdzińska, K., Wolny, R., Wolniak, R., & Grebski, W. (2024). Impact of economic awareness on sustainable energy consumption: Results of research in a segment of Polish households. Energies. https://doi.org/10.3390/en17112483

Hong, T., Laing, T. D., & Wang, P. (2022). Four best practices of load forecasting for electric cooperatives. Rural Electric Power Conference. https://doi.org/10.1109/REPCON.2014.6842203

Iddo, D. (2019). Agile development. Medium. https://medium.com/moodah-pos/agile-development-95cad3573abf

International Organization for Standardization. (2023). ISO/IEC 25010: Systems and software engineering — Systems and software quality requirements and evaluation (SQuaRE) — System and software quality models. https://www.iso.org/standard/78176.html

Kang, H.-J., Han, J., & Kwon, G. H. (2022). The acceptance behavior of smart home health care services in South Korea: An integrated model of UTAUT and TTF. International Journal of Environmental Research and Public Health, 19(20), 13279. https://doi.org/10.3390/ijerph192013279

Marcelo-Galapon, M. L. (2023). Challenges and strategies of rural electrification program for electric cooperatives in Central Luzon, Philippines. International Multidisciplinary Research Journal, 4(4). https://doi.org/10.54476/ioer-imrj/390153

Marques, G., & Pitarma, R. (2019). Monitoring energy consumption system to improve energy efficiency. In Recent Advances in Information Systems and Technologies (pp. 3–11). Advances in Intelligent Systems and Computing. Springer. https://doi.org/10.1007/978-3-319-56538-5_1

Ravago, M.-L. V., Fabella, R. V., Alonzo, R. P., Danao, R. A., & Mapa, D. S. (2023). Filipino 2040 energy: Power security and competitiveness. https://ideas.repec.org/p/pra/mprapa/87721.html

React Documentation. (2023). Retrieved from https://reactjs.org/docs/getting-started.html

Udoakah, Y.-O. N., & Okure, I. G. (2020). Energy efficiency and sustainability: Evaluation of electricity consumer’s behavior towards electricity usage and energy conservation. AFRREV STECH: An International Journal of Science and Technology, 6(2), 36–52. https://doi.org/10.4314/STECH.V6I2.3

Vinyals, M., Robu, V., Rogers, A., & Jennings, N. R. (2022). Prediction-of-use games: A cooperative game theory approach to sustainable energy tariffs. Adaptive Agents and Multi-Agents Systems, 829–836. https://doi.org/10.5555/2615731.2615864

Downloads

Published

2025-05-24

How to Cite

eVolta: A Cloud-Based and Real-Time Electricity Usage Monitoring System. (2025). American Journal of Data Science and Artificial Intelligence, 1(1), 1-7. https://doi.org/10.54536/ajdsai.v1i1.4884

Similar Articles

You may also start an advanced similarity search for this article.