Journal Publications

  1. Ramanathan, N. S., and P. Bharadwaj. "Data-driven real-time dynamic pricing for dual-PV-grid-powered bidirectional electric vehicle charging." Electric Power Systems Research 250 (2026): 112071.
  2. S. Chakraborty, P. Mehta and P. Bharadwaj, "Smart Hybrid Energy Management System for Green Microgrid with Optimized Energy and Enhanced Voltage Stability," in IEEE Transactions on Industry Applications. 
  3. R. D. Fonso, C. Cecati, R. Teodorescu, D. -I. Stroe and P. Bharadwaj, "Data-Driven Modeling of Li-Ion Battery Based on the Manufacturer Specifications and Laboratory Measurements," in IEEE Transactions on Industry Applications, vol. 61, no. 2, pp. 3485-3493, March-April 2025.
  4. R. D. Fonso, R. Teodorescu, C. Cecati and P. Bharadwaj, "A Battery Digital Twin From Laboratory Data Using Wavelet Analysis and Neural Networks," in IEEE Transactions on Industrial Informatics, vol. 20, no. 4, pp. 6889-6899, April 2024. 
  5. P. Sachan and P. Bharadwaj, “Incorporating Uncertainty and Reliability for Battery Temperature Prediction Using Machine Learning Methods,” in IEEE Journal of Emerging and Selected Topics in Industrial Electronics, vol. 5, no. 1, pp. 234-241, Jan. 2024.
  6. Remus Teodorescu, Xin Sui, Soren Vilsen, Pallavi Bharadwaj, Abhijit Kulkarni, Daniel-Ioan Stroe, “Smart Battery Technology for Lifetime Improvement,” Batteries, vol. 8, iss. 10. pg. 169, Oct. 2022. 
  7. Yunhong Che, Yusheng Zheng, Yue Wu, Xin Sui, Pallavi Bharadwaj, Daniel-Ioan Stroe, Yalian Yang, Xiaosong Hu, Remus Teodorescu, “Data efficient health prognostic for batteries based on sequential information-driven probabilistic neural network,” Applied Energy, vol. 323, Aug. 2022.
  8. Vaibhav Tripathi, Pallavi Bharadwaj, “Neuroscience of the yogic theory of consciousness,” Neuroscience of Consciousness, vol. 2021, iss. 2, niab 030, Oxford University Press, Oct. 2021.  
  9. Pallavi Bharadwaj and Vinod John, “High-Power Closed-Loop SMPC-Based Photovoltaic System Characterization under Varying Ambient Conditions,” Energies, vol. 14, no. 17, pg. 5296, Aug. 2021.
  10. Pallavi Bharadwaj and Vinod John, “Optimized Global Maximum Power Point Tracking of Photovoltaic Systems based on Rectangular Power Comparison,” IEEE Access, vol. 9, pp. 53602-53616, Apr. 2021.
  11. Pallavi Bharadwaj and Vinod John, “Subcell Modeling of Partially Shaded Photovoltaic Modules,” IEEE Transactions on Industry Applications, vol. 55, no. 3, pp. 3046-3054, May-Jun. 2019.
  12. Venkatramanan D, Pallavi Bharadwaj, Anil K Adapa and Vinod John, “Power Conversion Technologies for High-Performance AC Micro-grid” INAE Letters, Springer, vol. 4, no. 1, pp. 27-35, Mar. 2019.
  13. Pallavi Bharadwaj and Vinod John, “Linearised model for PV panel power output variation with changes in ambient conditions,” Sadhana, Springer, vol. 42, no. 12, pp. 2183-2187, Dec. 2017.
  14. Pallavi Bharadwaj, Abhijit Kulkarni, Vinod John, “Impedance Estimation for Inverter Start-up Characterisation Measurement for Different Photo-voltaic Module Combinations,” Sadhana, Springer, vol. 42, no. 8, pp. 1377-1387, Aug. 2017.
  15. Pallavi Bharadwaj, Kunal N. Chaudhary and Vinod John, “Sequential Optimization for PV Panel Parameter Estimation,” IEEE Journal of Photovoltaics, vol. 6, no. 5, pp. 1261-1268, Sep. 2016.
  16. Pallavi Bharadwaj and Vinod John, “Design, Fabrication and Evaluation of Solar Cell Based Irradiation Meter for PV Applications,” Journal of the Instrument Society of India, vol. 46, no. 2, pp. 78-83, Jun. 2016.

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