Implementing IoT Technology for Energy Optimization in Rooftop Solar PV Plants: A Concentrated Validation Study

Fabian Alonso Lara-Vargas; Jimena de la Ossa-Rivera; Santiago Jaramillo-Mira; Carlos Vargas-Salgado; Jesus Aguila-Leon; Evelyn Villabon-Lopez

doi:10.1007/978-3-031-88854-0_2

Implementing IoT Technology for Energy Optimization in Rooftop Solar PV Plants: A Concentrated Validation Study

Fabian Alonso Lara-Vargas
, Jimena de la Ossa-Rivera
, Santiago Jaramillo-Mira
, Carlos Vargas-Salgado
, Jesus Aguila-Leon
, Evelyn Villabon-Lopez

Research output: Chapter in Book/Conference proceeding › Conference and proceedings › peer-review

Abstract

The present study presents a low-cost Internet of Things (IoT) monitoring system for rooftop solar photovoltaic systems to promote sustainable energy solutions. Using a Raspberry Pi Pico W and low-cost sensors, the system enables real-time monitoring of important variables such as solar panel temperature, solar radiation, inverter temperature, and indoor temperature. A case study conducted in Montería, Colombia, validated the accuracy of the proposed system by comparing its measurements with those of commercial meters using metrics such as Root Mean Square Error (RMSE), correlation, Mean Absolute Error (MAE), and R -Square (R²). The system achieved comparable correlation values between 0.84 and 0.98, RMSE between 74.6 and 1.2, MAE between 3.22 and 1.2, and R² between 0.88 and 0.98. The results demonstrate the system’s ability to increase the performance of solar systems and thus support a sustainable energy transition. This study highlights the need for efficient monitoring and management of solar photovoltaic systems to maximize potential and minimize environmental impact. By examining precise and reliable monitoring methods, electronic prototypes for photovoltaic monitoring systems will be validated. These results highlight the importance of integrating IoT technology and data analytics to improve the automation, control, and monitoring of photovoltaic systems and promote renewable energy adoption and a sustainable future.

Original language	English
Title of host publication	Applications of Computational Intelligence - 7th IEEE Colombian Conference, ColCACI 2024, Revised Selected Papers
Editors	Alvaro David Orjuela-Cañón, Jesus A. Lopez, Oscar J. Suarez
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	14-26
Number of pages	13
ISBN (Print)	9783031888533
DOIs	https://doi.org/10.1007/978-3-031-88854-0_2
State	Published - 1 May 2025
Event	7th IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2024 - Pamplona, Colombia Duration: 17 Jul 2024 → 19 Jul 2024

Publication series

Name	Communications in Computer and Information Science
Volume	2212 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	7th IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2024
Country/Territory	Colombia
City	Pamplona
Period	17/07/24 → 19/07/24

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Energy sustainability
Inverter
IoT monitoring
Solar PV plant

Types Minciencias

Scientific events with a public engagement component

Access to Document

10.1007/978-3-031-88854-0_2

Cite this

Lara-Vargas, F. A., de la Ossa-Rivera, J., Jaramillo-Mira, S., Vargas-Salgado, C., Aguila-Leon, J., & Villabon-Lopez, E. (2025). Implementing IoT Technology for Energy Optimization in Rooftop Solar PV Plants: A Concentrated Validation Study. In A. D. Orjuela-Cañón, J. A. Lopez, & O. J. Suarez (Eds.), Applications of Computational Intelligence - 7th IEEE Colombian Conference, ColCACI 2024, Revised Selected Papers (pp. 14-26). (Communications in Computer and Information Science; Vol. 2212 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-88854-0_2

Lara-Vargas, Fabian Alonso ; de la Ossa-Rivera, Jimena ; Jaramillo-Mira, Santiago et al. / Implementing IoT Technology for Energy Optimization in Rooftop Solar PV Plants: A Concentrated Validation Study. Applications of Computational Intelligence - 7th IEEE Colombian Conference, ColCACI 2024, Revised Selected Papers. editor / Alvaro David Orjuela-Cañón ; Jesus A. Lopez ; Oscar J. Suarez. Springer Science and Business Media Deutschland GmbH, 2025. pp. 14-26 (Communications in Computer and Information Science).

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title = "Implementing IoT Technology for Energy Optimization in Rooftop Solar PV Plants: A Concentrated Validation Study",

abstract = "The present study presents a low-cost Internet of Things (IoT) monitoring system for rooftop solar photovoltaic systems to promote sustainable energy solutions. Using a Raspberry Pi Pico W and low-cost sensors, the system enables real-time monitoring of important variables such as solar panel temperature, solar radiation, inverter temperature, and indoor temperature. A case study conducted in Monter{\'i}a, Colombia, validated the accuracy of the proposed system by comparing its measurements with those of commercial meters using metrics such as Root Mean Square Error (RMSE), correlation, Mean Absolute Error (MAE), and R -Square (R2). The system achieved comparable correlation values between 0.84 and 0.98, RMSE between 74.6 and 1.2, MAE between 3.22 and 1.2, and R2 between 0.88 and 0.98. The results demonstrate the system{\textquoteright}s ability to increase the performance of solar systems and thus support a sustainable energy transition. This study highlights the need for efficient monitoring and management of solar photovoltaic systems to maximize potential and minimize environmental impact. By examining precise and reliable monitoring methods, electronic prototypes for photovoltaic monitoring systems will be validated. These results highlight the importance of integrating IoT technology and data analytics to improve the automation, control, and monitoring of photovoltaic systems and promote renewable energy adoption and a sustainable future.",

keywords = "Energy sustainability, Inverter, IoT monitoring, Solar PV plant",

author = "Lara-Vargas, \{Fabian Alonso\} and \{de la Ossa-Rivera\}, Jimena and Santiago Jaramillo-Mira and Carlos Vargas-Salgado and Jesus Aguila-Leon and Evelyn Villabon-Lopez",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.; 7th IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2024 ; Conference date: 17-07-2024 Through 19-07-2024",

year = "2025",

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language = "Ingl{\'e}s",

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series = "Communications in Computer and Information Science",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "14--26",

editor = "Orjuela-Ca{\~n}{\'o}n, \{Alvaro David\} and Lopez, \{Jesus A.\} and Suarez, \{Oscar J.\}",

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Lara-Vargas, FA, de la Ossa-Rivera, J, Jaramillo-Mira, S, Vargas-Salgado, C, Aguila-Leon, J & Villabon-Lopez, E 2025, Implementing IoT Technology for Energy Optimization in Rooftop Solar PV Plants: A Concentrated Validation Study. in AD Orjuela-Cañón, JA Lopez & OJ Suarez (eds), Applications of Computational Intelligence - 7th IEEE Colombian Conference, ColCACI 2024, Revised Selected Papers. Communications in Computer and Information Science, vol. 2212 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 14-26, 7th IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2024, Pamplona, Colombia, 17/07/24. https://doi.org/10.1007/978-3-031-88854-0_2

Implementing IoT Technology for Energy Optimization in Rooftop Solar PV Plants: A Concentrated Validation Study. / Lara-Vargas, Fabian Alonso; de la Ossa-Rivera, Jimena; Jaramillo-Mira, Santiago et al.
Applications of Computational Intelligence - 7th IEEE Colombian Conference, ColCACI 2024, Revised Selected Papers. ed. / Alvaro David Orjuela-Cañón; Jesus A. Lopez; Oscar J. Suarez. Springer Science and Business Media Deutschland GmbH, 2025. p. 14-26 (Communications in Computer and Information Science; Vol. 2212 CCIS).

Research output: Chapter in Book/Conference proceeding › Conference and proceedings › peer-review

TY - GEN

T1 - Implementing IoT Technology for Energy Optimization in Rooftop Solar PV Plants: A Concentrated Validation Study

AU - Lara-Vargas, Fabian Alonso

AU - de la Ossa-Rivera, Jimena

AU - Jaramillo-Mira, Santiago

AU - Vargas-Salgado, Carlos

AU - Aguila-Leon, Jesus

AU - Villabon-Lopez, Evelyn

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

PY - 2025/5/1

Y1 - 2025/5/1

N2 - The present study presents a low-cost Internet of Things (IoT) monitoring system for rooftop solar photovoltaic systems to promote sustainable energy solutions. Using a Raspberry Pi Pico W and low-cost sensors, the system enables real-time monitoring of important variables such as solar panel temperature, solar radiation, inverter temperature, and indoor temperature. A case study conducted in Montería, Colombia, validated the accuracy of the proposed system by comparing its measurements with those of commercial meters using metrics such as Root Mean Square Error (RMSE), correlation, Mean Absolute Error (MAE), and R -Square (R2). The system achieved comparable correlation values between 0.84 and 0.98, RMSE between 74.6 and 1.2, MAE between 3.22 and 1.2, and R2 between 0.88 and 0.98. The results demonstrate the system’s ability to increase the performance of solar systems and thus support a sustainable energy transition. This study highlights the need for efficient monitoring and management of solar photovoltaic systems to maximize potential and minimize environmental impact. By examining precise and reliable monitoring methods, electronic prototypes for photovoltaic monitoring systems will be validated. These results highlight the importance of integrating IoT technology and data analytics to improve the automation, control, and monitoring of photovoltaic systems and promote renewable energy adoption and a sustainable future.

AB - The present study presents a low-cost Internet of Things (IoT) monitoring system for rooftop solar photovoltaic systems to promote sustainable energy solutions. Using a Raspberry Pi Pico W and low-cost sensors, the system enables real-time monitoring of important variables such as solar panel temperature, solar radiation, inverter temperature, and indoor temperature. A case study conducted in Montería, Colombia, validated the accuracy of the proposed system by comparing its measurements with those of commercial meters using metrics such as Root Mean Square Error (RMSE), correlation, Mean Absolute Error (MAE), and R -Square (R2). The system achieved comparable correlation values between 0.84 and 0.98, RMSE between 74.6 and 1.2, MAE between 3.22 and 1.2, and R2 between 0.88 and 0.98. The results demonstrate the system’s ability to increase the performance of solar systems and thus support a sustainable energy transition. This study highlights the need for efficient monitoring and management of solar photovoltaic systems to maximize potential and minimize environmental impact. By examining precise and reliable monitoring methods, electronic prototypes for photovoltaic monitoring systems will be validated. These results highlight the importance of integrating IoT technology and data analytics to improve the automation, control, and monitoring of photovoltaic systems and promote renewable energy adoption and a sustainable future.

KW - Energy sustainability

KW - Inverter

KW - IoT monitoring

KW - Solar PV plant

UR - https://www.scopus.com/pages/publications/105004789562

UR - https://link.springer.com/chapter/10.1007/978-3-031-88854-0_2

U2 - 10.1007/978-3-031-88854-0_2

DO - 10.1007/978-3-031-88854-0_2

M3 - Ponencia publicada en las memorias del evento con ISBN

SN - 9783031888533

T3 - Communications in Computer and Information Science

SP - 14

EP - 26

BT - Applications of Computational Intelligence - 7th IEEE Colombian Conference, ColCACI 2024, Revised Selected Papers

A2 - Orjuela-Cañón, Alvaro David

A2 - Lopez, Jesus A.

A2 - Suarez, Oscar J.

PB - Springer Science and Business Media Deutschland GmbH

T2 - 7th IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2024

Y2 - 17 July 2024 through 19 July 2024

ER -

Lara-Vargas FA, de la Ossa-Rivera J, Jaramillo-Mira S, Vargas-Salgado C, Aguila-Leon J, Villabon-Lopez E. Implementing IoT Technology for Energy Optimization in Rooftop Solar PV Plants: A Concentrated Validation Study. In Orjuela-Cañón AD, Lopez JA, Suarez OJ, editors, Applications of Computational Intelligence - 7th IEEE Colombian Conference, ColCACI 2024, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2025. p. 14-26. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-88854-0_2

Implementing IoT Technology for Energy Optimization in Rooftop Solar PV Plants: A Concentrated Validation Study

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

Types Minciencias

Access to Document

Fingerprint

Cite this