Archives

  • April 30
    Vol. 5 No. 1 (2026)

    This issue features original research addressing key challenges in modern power and energy systems, with an emphasis on renewable energy integration, intelligent control strategies, and advanced optimization techniques. The contributions include a hybrid adaptive MPPT algorithm for enhanced photovoltaic system performance, techno-economic optimization of battery energy storage systems for peak shaving and voltage regulation, and an automated approach for transforming unstructured geospatial feeder data into analytical models. In addition, coordinated planning of distributed generation and DSTATCOM allocation with network reconfiguration is explored to improve distribution network performance.

  • December 31
    Vol. 4 No. 3 (2025)

    This issue addresses carbon footprint reduction and energy efficiency in the healthcare sector, secure audio steganography based on vectorized LSB and chaos-driven encryption, and EMG-based multi-class gesture recognition, highlighting advances in sustainability, information security, and biomedical signal processing. It also includes an evaluation of data center energy efficiency in Türkiye, the development of fullerene–graphene hybrid photovoltaic devices, and a comparative assessment of deep learning architectures for tile defect detection, demonstrating the practical impact of AI in industrial inspection and quality control.

  • August 31
    Vol. 4 No. 2 (2025)

    This issue of Electrical Engineering and Energy (ELENE) (Vol. 4, No. 2, August 2025) features research on renewable energy forecasting, electrical machine efficiency, sensor technologies, and thermal system optimization. The studies explore machine learning for solar forecasting, imbalance detection, motor performance improvement, transformer oil monitoring, and CFD-based radiator design—collectively advancing sustainable and intelligent energy systems.

  • April 30
    Vol. 4 No. 1 (2025)

    Electrical Engineering and Energy (ELENE) – Vol. 4, Issue 1 (2025) presents original research on cutting-edge topics in electrical and energy engineering. Highlights include studies on DSTATCOM control with moving average filters, optimization via genetic algorithms, nanoparticle effects on engine performance, inverter control strategies, and magnet demagnetization in permanent magnet motors.