OT-DRIVEN OPTIMIZATION OF SELF-SUFFICIENT SOLAR ENERGY SYSTEMS THROUGH METEOROLOGICAL DATA INTEGRATION

Érico Schardong Rhor  Piantkoski; Diógenes Antonio Marques José; Armando da Silva  Filho

doi:10.61164/rmnm.v10i1.4031

Authors

Érico Schardong Rhor Piantkoski Mato Grosso State University, Brazil https://orcid.org/0009-0008-6928-3818
Diógenes Antonio Marques José Mato Grosso State University, Brazil https://orcid.org/0000-0002-9707-6022
Armando da Silva Filho Mato Grosso State University, Brazil https://orcid.org/0009-0005-9602-4131

DOI:

https://doi.org/10.61164/rmnm.v10i1.4031

Keywords:

Solar Energy, Off-Grid Model, MicroPython, Python, Embedded Systems, IoT, Solar Radiation

Abstract

Over two million Brazilians lack access to electricity, as reported by the Brazilian Institute of Geography and Statistics (IBGE). Meanwhile, a significant portion of the population reliant on hydroelectric power faces recurring energy price hikes driven by water scarcity and systemic mismanagement. Decentralized solar energy systems offer a promising alternative; however, their intermittent nature due to seasonal variability can compromise reliability for off-grid users. To address this challenge, this study proposes an IoT-enabled embedded system that integrates meteorological data with a solar radiation prediction algorithm. The system dynamically correlates energy generation forecasts with consumption patterns to provide real-time recommendations for optimized usage, empowering users to adjust consumption proactively. During testing, the algorithm demonstrated strong alignment between predicted and actual solar energy generation, highlighting its potential to enhance energy resilience in off-grid scenarios.

Author Biographies

Érico Schardong Rhor Piantkoski, Mato Grosso State University, Brazil

Bachelor in Computer Science, Mato Grosso State University, Brazil

E-mail: erico@gmail.com ORCID: https://orcid.org/0009-0008-6928-3818
Diógenes Antonio Marques José, Mato Grosso State University, Brazil

Master of Computer Science, Mato Grosso State University, Brazil

E-mail: dioxfile@unemat.br ORCID: https://orcid.org/0000-0002-9707-6022
Armando da Silva Filho, Mato Grosso State University, Brazil

PhD in Environmental Physics, Mato Grosso State University, Brazil

E-mail: armandosf2000@unemat.br ORCID: https://orcid.org/0009-0005-9602-4131

References

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OT-DRIVEN OPTIMIZATION OF SELF-SUFFICIENT SOLAR ENERGY SYSTEMS THROUGH METEOROLOGICAL DATA INTEGRATION

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