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Yapay zekanın güç sistemlerinde uygulanmasına ilişkin güncel atılımlar ve eleştirel algılar: Sistematik bir inceleme

Current breakthroughs and critical perceptions on the application of artificial intelligence in power systems: A systematic review

Benjamin O. Ezurike, Chibuzor Chuks, Onyewuchi Ezurike, Stephen Ajah, Daniel Nmadu, Udora Nwawelu, Chukwunenye Okoronkwo

Sayfa
962–982
Yayın Tarihi
2026-09-13
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Özet

Yapay Zekâ (YZ) destekli çözümler, güç üretimi ve dağıtımından tüketime kadar güç sistemlerini hızla dönüştürüyor. Bu inceleme, özellikle yük tahmini, anomali tespiti, kestirimci bakım, enerji yönetimi, yenilenebilir enerji entegrasyonu ve siber güvenlik gibi temel alanları nasıl geliştirdiğine odaklanarak, en son gelişmelerin kapsamlı bir analizini sunmaktadır. Birincil amacımız, son yapay zekâ tabanlı teknikleri, gerçek dünyadaki uygulamalarını ve geleneksel yöntemlerle karşılaştırıldığında performanslarını sistematik olarak incelemek ve eleştirel bir şekilde değerlendirmektir. Benzersiz vaka çalışmalarının ayrıntılı bir incelemesi aracılığıyla, bu YZ tekniklerinin doğruluğu nasıl önemli ölçüde artırdığını ve sistem güvenilirliğini nasıl geliştirdiğini gösteriyoruz. Etkileyici bir ilerleme kaydedilmiş olsa da, özellikle veri toplama zorlukları ve gelişmiş YZ modellerinin doğasında bulunan karmaşıklık konusunda literatürde devam eden kritik boşlukları tespit ediyoruz. Bu incelemenin yeniliği, mevcut çığır açan gelişmeleri vurgularken aynı zamanda bu çözülmemiş zorluklara eleştirel bir bakış açısı sağlamasında yatmaktadır. Çeşitli çalışmalarda tespit edilen sınırlamaları sentezliyor ve daha verimli ve dayanıklı güç sistemleri geliştirmeye yönelik gelecekteki araştırmalara rehberlik edecek somut öneriler sunuyoruz.

Abstract

Artificial Intelligence (AI) driven solutions are rapidly transforming power systems, from power generation and distribution to consumption. This review provides a comprehensive analysis of the latest advancements, specifically focusing on how AI enhances key areas such as load forecasting, anomaly detection, predictive maintenance, energy management, renewable energy integration, and cybersecurity. Our primary aim is to systematically review and critically evaluate recent AI-based techniques, their real-world implementations, and their performance compared to traditional methods. Through a detailed examination of unique case studies, we demonstrate how these AI techniques significantly improve accuracy and enhance system reliability. While impressive progress has been made, we identify critical gaps that persist in the literature, particularly regarding the challenges of data collection and the inherent complexity of advanced AI models. This review's novelty lies in its dual focus: highlighting current breakthroughs while also providing a critical perspective on these unresolved challenges. We synthesize the limitations identified in various studies and offer concrete recommendations to guide future research toward developing more efficient and resilient power systems.

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Bu Makaleye Atıf Yap

Ezurike, B. O., Chuks, C., Ezurike, O., Ajah, S., Nmadu, D., Nwawelu, U., Okoronkwo, C. (2026). Yapay zekanın güç sistemlerinde uygulanmasına ilişkin güncel atılımlar ve eleştirel algılar: Sistematik bir inceleme. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, Cilt: 32 Sayı: 5, 962–982. https://doi.org/10.65206/pajes.76574

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