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Shivanaganna, N., Tatabhatla, V., Nindra, S., Boddapati, V., & P, S. K. (2026). An opposition-based learning enhanced artificial hummingbird algorithm for residential load scheduling considering various consumer behaviour models. Engineering Research Express, 8(9). https://doi.org/10.1088/2631-8695/ae60c7

Ramaiah, M., & Sathyanarayanan, B. (2026). A Hybrid Pelican Pufferfish Optimization-Based CNN for Harmonic Reduction in 31-Level MLI Microgrids. Journal of Vibration Engineering and Technologies, 14(5). https://doi.org/10.1007/s42417-026-02482-z

Vinayagam, A., Mohandas, R., Chindamani, M., Sujatha, B., Mishra, S., & Sundaramurthy, A. (2026). High impedance fault discrimination in microgrid power system using stacking ensemble approach. International Journal of Applied Power Engineering, 15(1), 98-109,. https://doi.org/10.11591/ijape.v15.i1.pp98-109

Ramaiah, M., & Sathyanarayanan, B. (2026). THD reduction in novel asymmetrical 21 level MLI using FLO-MOA algorithm optimized cascaded controller technique. Bulletin of Electrical Engineering and Informatics, 15(2), 1403-1416,. https://doi.org/10.11591/eei.v15i2.10974

Kumar, P., Raju, G., Bajaj, M., Alluraiah, N., Gopi, P., Pulumithi, S., … Zaitsev, I. (2025). Integrated thermal and battery management for electric vehicles: Experimental validation and simulation-based optimization of lithium-ion batteries. Energy Exploration and Exploitation. https://doi.org/10.1177/01445987251337094