| dc.contributor.advisor | BRAGARENCO, Andrei | |
| dc.contributor.author | MUNTEANU, Ecaterina | |
| dc.contributor.author | FRIPTU, Ludmila | |
| dc.contributor.author | COLȚA, Maria | |
| dc.contributor.author | SCHIPSCHI, Daniil | |
| dc.date.accessioned | 2026-01-14T11:27:55Z | |
| dc.date.available | 2026-01-14T11:27:55Z | |
| dc.date.issued | 2026 | |
| dc.identifier.citation | MUNTEANU, Ecaterina; Ludmila FRIPTU; Maria COLȚA and Daniil SCHIPSCHI. Solar power management system. In: Conferinţa Tehnico-Ştiinţifică a Colaboratorilor, Doctoranzilor şi Studenţilor = The Technical Scientific Conference of Undergraduate, Master and PhD Students, 14-16 Mai 2025. Universitatea Tehnică a Moldovei. Chişinău: Tehnica-UTM, 2026, vol. 1, pp. 637-640. ISBN 978-9975-64-612-3, ISBN 978-9975-64-613-0 (PDF). | en_US |
| dc.identifier.isbn | 978-9975-64-612-3 | |
| dc.identifier.isbn | 978-9975-64-613-0 | |
| dc.identifier.uri | https://repository.utm.md/handle/5014/34375 | |
| dc.description.abstract | This project presents an innovative solar power management system designed for modern agricultural greenhouses that rely on energy-intensive technologies such as agrobots, climate control units, and edge computing devices. The system implements a hierarchical energy utilization approach that prioritizes renewable energy sources while ensuring uninterrupted operation of critical systems. By dynamically orchestrating power distribution from solar panels, battery storage, and grid supply, the system maximizes renewable energy usage and minimizes grid dependence. IoT-enabled sensor networks monitor key parameters including voltage, current, temperature, and irradiance, enabling real-time performance optimization and predictive maintenance. Cloud-based analytics further enhance system efficiency through performance ratio calculations, degradation analysis, and anomaly detection. Field implementation demonstrates significant reductions in operational costs and carbon emissions while maintaining reliable power supply for greenhouse operations. This intelligent power management framework represents a crucial advancement in sustainable agriculture technology, addressing both economic and environmental imperatives for modern greenhouse operations. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Universitatea Tehnică a Moldovei | en_US |
| dc.relation.ispartofseries | Conferinţa tehnico-ştiinţifică a studenţilor, masteranzilor şi doctoranzilor = The Technical Scientific Conference of Undergraduate, Master and PhD Students: 14-16 mai 2025; | |
| dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
| dc.subject | internet of things | en_US |
| dc.subject | agriculture | en_US |
| dc.subject | solar power | en_US |
| dc.subject | greenhouse energy optimization | en_US |
| dc.title | Solar power management system | en_US |
| dc.type | Article | en_US |
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