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Article

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Title

Energy Security of Photovoltaic Systems in the Context of Artificial Intelligence Development

Authors

[ 1 ] Wydział Bezpieczeństwa Narodowego, Akademia Sztuki Wojennej | [ P ] employee

Scientific discipline (Law 2.0)

[6.6] Management and quality studies

Year of publication

2025

Published in

European Research Studies Journal

Journal year: 2025 | Journal volume: Vol. XXVIII | Journal number: Issue 3

Article type

scientific article

Publication language

english

Keywords
PL
Abstract

EN This article analyzes the impact of artificial intelligence (AI) advancements on the energy and operational security of photovoltaic (PV) systems. The rapid expansion of solar energy brings numerous benefits but also introduces new challenges, including production instability and operational risks. The paper highlights key AI applications in PV energy forecasting, smart energy management, and advanced fault diagnostics. It also identifies challenges associated with AI deployment, such as data quality, cybersecurity threats, and regulatory issues. Design/Methodology/Approach: The study adopts a mixed-method approach, combining a systematic literature review with case studies of AI applications in photovoltaic systems. Comparative analysis was conducted using data from Poland, the European Union, and other developed countries, allowing for the identification of both common trends and region-specific challenges. Findings: The analysis demonstrates that AI can significantly enhance the reliability and stability of PV energy supply, provided that appropriate technological, organizational, and regulatory frameworks are established. Practical implementations: The findings are illustrated by practical implementations of AI in energy forecasting, predictive maintenance, and intelligent grid management in European and Polish energy companies. Case studies highlight how AI-supported control systems enhance the stability of photovoltaic energy supply by integrating storage facilities and demand-side management. Originality/Value: This article contributes original insights into the role of AI in ensuring both energy security and operational safety of photovoltaic installations under dynamic market and regulatory conditions.

Date of online publication

08.09.2025

Pages (from - to)

786 - 806

DOI

10.35808/ersj/4086

URL

https://ersj.eu/journal/4086

Comments

Bibliografia na stronach 804-806.

License type

CC BY (attribution alone)

Open Access Mode

open journal

Open Access Text Version

final published version

Release date

08.09.2025

Date of Open Access to the publication

at the time of publication

Full text of article

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Access level to full text

public

Ministry points / journal

100