Open Access
Issue
E3S Web Conf.
Volume 591, 2024
International Conference on Renewable Energy Resources and Applications (ICRERA-2024)
Article Number 07002
Number of page(s) 11
Section PV & Wind Integrated System
DOI https://doi.org/10.1051/e3sconf/202459107002
Published online 14 November 2024
  1. Pragathi, Bellamkonda, and Deepak Kumar Nayak. “Integration of hybrid energy storage systems for stabilizing power output in PV-wind systems.” Journal of Renewable Energy Systems 27, no. 3 (2023): 145-160. [Google Scholar]
  2. Sharma, A., and Patel, R. “Application of demand-side management techniques for balancing renewable energy variability.” IEEE Transactions on Smart Grid 14, no. 1 (2022): 67-78. [Google Scholar]
  3. Gupta, V., and Singh, M. “Probabilistic power flow analysis for evaluating grid voltage stability in renewable integrated systems.” International Journal of Electrical Power & Energy Systems 136 (2023): 117814. [Google Scholar]
  4. Roy, T., and Dutta, P. “Model predictive control for optimal coordination of PV, wind, and energy storage systems.” Energy Management Research Journal 19, no. 4 (2022): 89-102. [Google Scholar]
  5. Ahmed, S., and Khalid, Z. “Vehicle-to-grid technology for balancing renewable energy supply and demand.” Electric Vehicles and Grid Integration Journal 10, no. 2 (2023): 201-215. [Google Scholar]
  6. Verma, R., and Choudhury, L. “Integration of hydrogen-based energy storage with PV and wind systems for seasonal energy storage.” Renewable Energy Systems Journal 18, no. 5 (2023): 321-338. [Google Scholar]
  7. Kumar, A., and Mehta, S. “Machine learning-based forecasting models for improving efficiency of energy management systems.” International Journal of Sustainable Energy 15, no. 2 (2023): 97-111. [Google Scholar]
  8. Reddy, V., and Khan, M. “Optimization of hybrid energy storage systems size for integrated PV-wind systems using genetic algorithm.” Energy Optimization Journal 16, no. 1 (2023): 56-68. [Google Scholar]
  9. Pragathi, B., and P. Ramu. “Authentication Technique for Safeguarding Privacy in Smart Grid Settings.” E3S Web of Conferences. Vol. 540. EDP Sciences, 2024. [Google Scholar]
  10. Pragathi, Bellamkonda, Deepak Kumar Nayak, and Ramesh Chandra Poonia. “Lorentzian adaptive filter for controlling shunt compensator to mitigate power quality problems of solar PV interconnected with grid.” International Journal of Intelligent Information and Database Systems 13.2-4 (2020): 491-506. [CrossRef] [Google Scholar]
  11. Pragathi, Bellamkonda, et al. “Evaluation and analysis of soft computing techniques for grid connected photo voltaic system to enhance power quality issues.” Journal of Electrical Engineering & Technology 16 (2021): 1833-1840. [CrossRef] [Google Scholar]
  12. K.N. Narendra Swamy, J. Venkata Suman, Design of Optimized Multiply Accumulate Unit Using EMBR Techniques for Low Power Applications, in Proceedings of the Computational Intelligence in Data Mining—Volume 2. Advances in Intelligent Systems and Computing, vol. 411, Springer, New Delhi. India, December 5-6 (2015) [Google Scholar]
  13. M. Hema, R. Gurunadha, J. V. Suman, M. Mallam, Effective Image Reconstruction Using Various Compressed Sensing Techniques, in Proceedings of the 2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE 2024), Shivamogga, India, May 16-17 (2024) [Google Scholar]

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