International Journal of Electrical Power System and Technology
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International Journal of Electrical Power System and Technology

IJEPST V-12 I-02 2026

IJEPST V-12 I-02 2026

PublishedSubscriptionReview Article 2026-07-23

A Comparative Study of JWT and Web Authn for Password less Authentication in MERN Stack Applications

By Ankit Kumar Tiwari, Hardik Srivastava, Vaibhav Baishkhiyar, and Shikhar Gupta

Abstract: More than 80% of web application breaches are rooted in credential compromise, yet password-based login continues to be the default choice in most MERN stack deployments. This paper reports on a side-by-side implementation of JSON Web Token (JWT) and Web Authentication (WebAuthn) within a shared MERN reference application built on React 18, Express.js 4.18, Node.js…

PublishedSubscriptionReview Article 2026-09-01

Detailed survey on detection of Dirtiness of PV panels using different approaches

By Khushalchand S. Sharma and Shrikant Chavate

Abstract: The accumulation of dust, dirt, bird droppings, pollen, and other environmental contaminants on photovoltaic (PV) panels significantly reduces their power generation efficiency and increases operational and maintenance costs. Therefore, timely and accurate detection of the cleanliness condition of solar panels is essential for maintaining optimal energy production, improving system reliability, and extending the operational lifespan…

PublishedSubscriptionReview Article 2026-09-01

Exploration of Explainable Artificial Intelligence (XAI) Techniques to Enhance Model Interpretability

By Avnish soni, Vivek Kumar Verma, Ayushi Singh, Pavitr Jain, Sharmishtha Gupta, and Arnav Dubey

Abstract: Explainable Artificial Intelligence (XAI) has become a major research field because of the rising application of complex machine learning and deep learning models in actual decision-making systems. Although such models are accurate, they are in many cases black boxes and therefore the users do not have much understanding of the way the decisions are generated.…

PublishedSubscriptionReview Article 2026-09-01

Faults in On-Load Tap Changer of a Transformer: An Innovative Approach to Mechanical Fault Diagnosis

By Kaustubh Valmik Bhosale and Poonam D. Daunde

Abstract: On-load tap changer (OLTC) is very important for maintaining or regulating output voltage, but it has moving contact & complex switching mechanisms which contributes to the failure of on-load tap changer. Faults in OLTC such as Coking Contact wear and damaged transition resistors significantly reduce reliability of transformers which may lead to catastrophic failures of…

PublishedSubscriptionReview Article 2026-07-23

Securing Smart Electrical Systems through Comparative Analysis of Machine Learning Models for Classification

By Dhanda Supriya and Anne Venkata Praveen Krishna

Abstract: In the realm of cybersecurity, the intersection of technology and security measures has spurred significant advancements, particularly in safeguarding electrical systems against cyber threats. This research delves into the evolving landscape of cybersecurity within electrical systems, leveraging machine learning techniques to mitigate challenges. By incorporating cybersecurity protocols with machine learning algorithms, this study demonstrates enhanced…

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