Secure low-cost photovoltaic monitoring system based on LoRaWAN network and artificial intelligence

• Published in: Discover Computing 2024-10, Vol.27 (1), p.36, Article 36
• Main Authors: Hameed, Bilal Hashim, Kurnaz, Sefer
• Format: Article
• Language: English
• Subjects: Artificial intelligence; Comparative studies; Computer Science; Cost effectiveness; Costs; Data collection; Data Mining and Knowledge Discovery; Data Structures and Information Theory; Information Storage and Retrieval; Low cost; Monitoring; Monitoring systems; Natural Language Processing (NLP); Operating costs; Pattern Recognition; Photovoltaic cells; Real time operation; Wide area networks
• ISSN: 2948-2992; 1386-4564; 2948-2992; 1573-7659
• DOI: 10.1007/s10791-024-09475-0

The advanced study will focus on developing a secure and cost-effective photovoltaic monitoring system using Long Range Wide Area Network (LoRaWAN) and Artificial Intelligence technologies for highly risky missions. With the world shifting to using renewable energy, the development of secure and efficient cost-effective monitoring systems for photovoltaic installations becomes very important. However, most of the solutions in use for PV installation monitoring are characterized by high costs, hence their limited use, especially in developing regions. In this regard, the present work presents country-specific protocols designed for the country of Turkey. The proposed system in this study is expected to offer real-time monitoring and data collection at a very meager cost by utilizing inexpensive microcontrollers and sensors. The accuracy rate demonstrated by the research is highly above board: 97.65%. It costs $210, with a very low power consumption of 0.5W and a range of 10 km. The major features underpin real-time monitoring with wide area coverage for effectiveness and efficiency in PVs monitoring. Test results in many places around Turkey have turned out reliable and accurate to justify a possible reduction in operational costs without compromising the quality of data received. This design is reinforced by a detailed mathematical model that assures one of its thorough analysis in performance. There is custom-built firmware that enhances communication efficiency and ensures data integrity in implementation. Comparative studies carried out with existing technologies indicate that the proposed system is cost-effective and operationally sound. This work gives a scalable, low-cost solution that probably might raise the uptake of PV systems in economically constrained areas.