Reliability of Insulation Systems and Its Impact on Electric Machine Design for Automotive and Aviation Applications by Arsham Asgari, Lucas Vincent Hanisch, Johanna Anspach, Jonas Franzki, Maik Kahn, Michael Kurrat, Markus Henke

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Simple Quadratic Interpolation-Inspired Symbiosis Organisms Search Algorithm for Optimal Placement of Capacitors in Radial Distribution Networks with Different Loading Models by Tri Phuoc Nguyen, Tuan Trong Nguyen, Trung Hieu Quang, Dieu Ngoc Vo

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Reducing peak thermo-electricity energy demand in building: Insights from sensible and latent storage – Applicable in hot and arid regions by Wajdi Rajhi, Noreen Izza Arshad, Naoufel Kraiem, Ahmed Mir, Lioua Kolsi, Ahmad H. Milyani, Mohammed N. Ajour, Hesham A. Alhumade, Aliakbar Karimipour

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AI Applications for Power Quality Issues in Distribution Systems: A Systematic Review by Mitra Nabian Dehaghani, Tarmo Korotko, Argo Rosin

“…These issues can undermine the reliability and stability of power systems, making it essential to address them to ensure a consistent and resilient power supply, especially as RES adoption continues to grow. …”
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Design and Analysis of Enhanced Phase-Locked Loop: Methods of Lyapunov and Natural Gradient by Shafayat Abrar, Muhammad Mubeen Siddiqui, Azzedine Zerguine

“…The phase-locked loop (PLL) plays a crucial role in modern power systems, primarily for estimating line voltage parameters and tracking variations needed to synchronize and control grid-connected power converters. …”
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New frequency stability assessment based on contribution rates of wind power plants by SungHoon Lim, KangWon Seo, Jung-Wook Park, Kwang Y. Lee

“…In future power systems, various generation units are expected to contribute to frequency stability. …”
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Artificial intelligence and machine learning techniques for power quality event classification: a focused review and future insights by Indu Sekhar Samanta, Sarthak Mohanty, Shubhranshu Mohan Parida, Pravat Kumar Rout, Subhasis Panda, Mohit Bajaj, Vojtech Blazek, Lukas Prokop, Stanislav Misak

“…Power Quality (PQ) disturbances are critical in modern power systems, significantly impacting electrical networks' stability, reliability, and efficiency. …”
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Topology Optimization of the Network with Renewable Energy Sources Generation Based on a Modified Adapted Genetic Algorithm by A. M. Bramm, A. I. Khalyasmaa, S. A. Eroshenko, P. V. Matrenin, N. A. Papkova, D. A. Sekatski

“…The simulation of the modes of electric power systems was performed using the Pandapower library for the Python programming language, which is in the public domain. …”
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Research on low carbon dispatch technology for wind and solar grid connection in the Gobi Desert and barren land areas by Yanhong Ma, QingQuan Lv, Jianmei Zhang, Chunxiang Yang, Qiang Zhou

“…In response to the challenge of new energy consumption in the Gobi Desert and barren land areas, this paper introduces a low-carbon dispatch strategy for power systems that is based on hierarchical and incremental optimization. …”
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Wearable Biodevices Based on Two-Dimensional Materials: From Flexible Sensors to Smart Integrated Systems by Yingzhi Sun, Weiyi He, Can Jiang, Jing Li, Jianli Liu, Mingjie Liu

“…The review categorizes cutting-edge wearable biodevices by their interactions with physical, electrophysiological, and biochemical signals, showcasing how 2D materials enhance these devices' functionality, mainly including self-powering and human-machine interaction. 2D materials enable multifunctional, high-performance biodevices, integrating self-powered systems, treatment platforms, and human-machine interactions, though challenges remain in practical applications.…”
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Mechanistic Multidimensional Modeling of Forced Convection Boiling Heat Transfer by Michael Z. Podowski, Raf M. Podowski

“…Due to the importance of boiling heat transfer in general, and boiling crisis in particular, for the analysis of operation and safety of both nuclear reactors and conventional thermal power systems, extensive efforts have been made in the past to develop a variety of methods and tools to evaluate the boiling heat transfer coefficient and to assess the onset of temperature excursion and critical heat flux (CHF) at various operating conditions of boiling channels. …”
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A novel arc detection and identification method in pantograph-catenary system based on deep learning by Yue Yan, Hu Liu, Linfeng Gan, Runtong Zhu

“…Abstract Arc detection is crucial for ensuring the safe operation of power systems, where timely and accurate detection of arcs can prevent potential hazards such as fires, equipment damage, or system failures. …”
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Editorial − Advances in Volt/Var control for active distribution networks with high-level intermittent renewable energy resources by Cuo Zhang, Yan Xu, Pierluigi Siano, Zhaoyu Wang, Sukumar Mishra, Raphaël Caire, David Hill

“…The Special Issue contains 13 high-quality papers which are classified into novel models of VVC (3 papers), design of VVC framework (3 papers), data-driven VVC (5 papers), and VVC in special power systems (2 papers). The Special Issue can provide advanced VVC methods with invaluable insights to enhance renewable energy utilisation efficiency, power loss reduction for public infrastructure, and guarantee high power quality for end-users.…”
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Designing the Powertrain of Unmanned Aerial Vehicle to Carry a 40 Kg Payload at Kabale University. by Nalumansi Moureen

“…This UAV powertrain is a photovoltaic and battery powered system designed for agricultural application. …”
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Advanced automated machine learning framework for photovoltaic power output prediction using environmental parameters and SHAP interpretability by Muhammad Paend Bakht, Mohd Norzali Haji Mohd, Babul Salam KSM Kader Ibrahim, Nuzhat Khan, Usman Ullah Sheikh, Ab Al-Hadi Ab Rahman

“…It sets new standards for significantly improved operational decisions and a broader integration of AI in renewable energy forecasting for data-driven optimization in power systems.…”
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Dissolved Gas Analysis for Fault Prediction in Power Transformers Using Machine Learning Techniques by Sahar R. Al-Sakini, Ghassan A. Bilal, Ahmed T. Sadiq, Wisam Abed Kattea Al-Maliki

“…Power transformers are one of the most important elements of electrical power systems. The fast diagnosis of transformer faults improves the efficiency of power systems. …”
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Exergo-economic analysis of multi HDH system integrated with evaporative crystallizer for zero liquid discharge by Osman Shamet, Dahiru U. Lawal, Suhaib M. Alawad, Mohamed Antar, Syed M. Zubair

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Potential of Hydrogen Fuel Cell Aircraft for Commercial Applications with Advanced Airframe and Propulsion Technologies by Stanislav Karpuk, Yannik Freund, Richard Hanke-Rauschenbach

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Power short-term load forecasting based on big data and optimization neural network by Xin JIN, Long-wei LI, Jia-nan JI, Zhi-qi LI, Yu HU, Yong-bin ZHAO

“…With the reduction of the cost of power data acquisition and the interconnection of large scale power systems,the types of data available in the power network are becoming more and more abundant.In the past,the centralized fore-casting method was limited to the analysis of the massive power data.Therefore,a short-term power load forecasting based on large data and particle swarm optimization BP neural network was proposed,and short-term power load fore-casting model was established.The actual load data of the national grid,using the method of prediction,compared with the actual load data and centralized load forecasting results prove that this method is accurate enough,reduce the load forecasting time with feasibility in practical application.…”
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Artificial Intelligence-Based Deep Learning Model for the Performance Enhancement of Photovoltaic Panels in Solar Energy Systems by Radhey Shyam Meena, Anoop Singh, Shilpa Urhekar, null RohitBhakar, Neeraj Kumar Garg, Mohammad Israr, D. P. Kothari, C. Chiranjeevi, Prasath Srinivasan

“…This study looks into artificial intelligence methods for scaling solar power systems, such as standalone, grid-connected, and hybrid systems, in order to lessen environmental effect. …”
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