Bio-Sketch:
Astitva Kumar completed his B.Tech. in 2013 from Uttar Pradesh Technical University in Electrical Engineering. He received his M.Tech degree in Control and Instrumentation from Delhi Technological University, Delhi, India in 2015. He further enrolled in Ph.D. and received his Doctorate Degree on the topic “Optimal Design of SPV System and Application” from Delhi Technological University, Delhi, India in 2021. He has published more than 20 research papers in reputed international journals and conference proceedings. He is currently, an Editorial Board Member of Scientific Reports (Springer Nature) also an active reviewer for numerous publishers such as IEEE, Springer, Elsevier and Scopus indexed international conferences. He has received Research Excellence Award in 2021, 2023 and 2024 for his commendable research and has also received international travel grant for presenting paper in international conferences. He has research experience of working on various government and international organization funded projects. His research interest focusses on Utilization of electrical energy, hybrid energy systems, advanced metaheuristic techniques, smart building energy management systems, agrivoltaics, PV power forecasting, energy management systems and intelligent controllers for hybrid energy systems.
Areas of Interest:
Home Page: https://www.researchgate.net/profile/Astitva-Kumar and https://scholar.google.co.in/citations?user=q3kDGt8AAAAJ&hl
- Selected publications
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R. Aman, A. Kumar, and M. Rizwan, “Fault Classification Using Deep Learning Based Model and Impact of Dust Accumulation on Solar Photovoltaic Modules,” Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, Accepted for Publication. IF: 2.901, SCI-E Indexed, Publisher: Taylor and Francis
A. Kumar, M. Alaraj, I. Alsaidan, M. Rizwan and M. Jamil, “Development of Novel Model for the Assessment of Dust Accumulation on Solar PV Modules,” IEEE Journal of Photovoltaics, vol. 13, pp. 150-157, 2023. IF: 4.401, Publisher: IEEE. DOI: https://doi.org/10.1109/JPHOTOV.2022.3220923
A. Kumar, M. Rizwan and U. Nangia, “A New Approach to Design and Optimize Sizing of Hybrid Microgrid in Deregulated Electricity Environment,” CSEE Journal of Power and Energy Systems, vol. 8, pp. 569-579, 2022. SCI Indexed, IF: 6.014, Publisher: IEEE. DOI: https://doi.org/10.17775/CSEEJPES.2020.03200
A. Kumar, M. Rizwan and U. Nangia, “A Hybrid Optimization Technique for Proficient Energy Management in Smart Grid Environment,” International Journal of Hydrogen Energy, vol. 47, pp. 5564-5576, 2022. SCI-E Indexed, IF: 7.139, Publisher: Elsevier. DOI: https://doi.org/10.1016/j.ijhydene.2021.11.188
A. Kumar, M. Rizwan and U. Nangia, “A Hybrid Intelligent Approach for Solar Photovoltaic Power Forecasting: Impact of Aerosol Data,” Arabian Journal for Science and Engineering, vol. 45, pp. 1715-1732, 2020. SCI-E Indexed, IF: 2.807, Publisher: Springer. DOI: https://doi.org/10.1007/s13369-019-04183-0
A. Kumar, M. Alaraj, I. Alsaidan, M. Rizwan and M. Jamil, “Energy Production Forecasting from Solar Photovoltaic Plants based on Meteorological Parameters for Qassim Region, Saudi Arabia,” IEEE Access, vol. 9, pp. 83241-83251, 2021. SCI Indexed, IF: 3.476, Publisher: IEEE. DOI: https://doi.org/10.1109/ACCESS.2021.3087345