International Journal of Electrical Power System and Technology
About the Journal
International Journal of Electrical Power System and Technologycovers many diversified but interlinked areas of electrical power system and technology which includes conventional electromechanical technology to electrical power systems computer analysis. Journal includes research articles and review papers both theoretical and experimental papers.
All contributions to the journal are rigorously refereed and are selected on the basis of quality and originality of the work. The journal publishes the most significant new research papers or any other original contribution in the form of reviews and reports on new concepts in all areas pertaining to its scope and research being done in the world, thus ensuring its scientific priority and significance.
Journal at a Glance
Latest Articles
Faults in On-Load Tap Changer of a Transformer: An Innovative Approach to Mechanical Fault Diagnosis
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…
Detailed survey on detection of Dirtiness of PV panels using different approaches
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…
Exploration of Explainable Artificial Intelligence (XAI) Techniques to Enhance Model Interpretability
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.…
A Comparative Study of JWT and Web Authn for Password less Authentication in MERN Stack Applications
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…
Securing Smart Electrical Systems through Comparative Analysis of Machine Learning Models for Classification
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…
A study AI-Driven IoT in Self-Healing Grid Power Systems
Abstract: Modern electricity infrastructure is undergoing a transformation thanks to the combination of artificial intelligence (AI) and the Internet of Things (IoT), especially in the development of self- healing grid systems. In the context of smart grid automation and resilience, this article provides a thorough review of AI-driven IoT infrastructures. By leveraging distributed sensor networks, real-time…