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Dr. Astitva Kumar
Dr. Astitva Kumar
Electrical Engg. Deptt., Netaji Subhash University of Technology
Verified email at nsut.ac.in
Title
Cited by
Cited by
Year
A Hybrid Intelligent Approach for Solar Photovoltaic Power Forecasting: Impact of Aerosol Data
A Kumar, M Rizwan, U Nangia
Arabian Journal for Science and Engineering 45 (3), 1715-1732, 2019
312019
Development of fuzzy logic based MPPT controller for PV system at varying meteorological parameters
A Kumar, P Chaudhary, M Rizwan
2015 annual IEEE India conference (INDICON), 1-6, 2015
272015
Novel AI based energy management system for smart grid with RES integration
A Kumar, M Alaraj, M Rizwan, U Nangia
IEEE Access 9, 162530-162542, 2021
262021
Energy production forecasting from solar photovoltaic plants based on meteorological parameters for qassim region, Saudi Arabia
M Alaraj, A Kumar, I Alsaidan, M Rizwan, M Jamil
Ieee Access 9, 83241-83251, 2021
252021
A hybrid optimization technique for proficient energy management in smart grid environment
A Kumar, M Rizwan, U Nangia
International Journal of Hydrogen Energy 47 (8), 5564-5576, 2022
222022
Artificial Neural Network based Model for Short Term Solar Radiation Forecasting considering Aerosol Index
A Kumar, M Rizwan, U Nangia
2018 IEEE International Conference on Power Electronics, Intelligent Control …, 2019
172019
A New Approach to Design and Optimize Sizing of Hybrid Microgrids in Deregulated Electricity Environment
A Kumar, M Rizwan, U Nangia
CSEE Journal of Power and energy Systems 8 (2), 569-579, 2020
152020
Optimal sizing of renewable energy resources in a microgrid for a distributed generation system
A Kumar, M Rizwan, U Nangia
2019 International Symposium on Advanced Electrical and Communication …, 2019
112019
Development of novel model for the assessment of dust accumulation on solar PV modules
A Kumar, M Alaraj, M Rizwan, I Alsaidan, M Jamil
IEEE Journal of Photovoltaics 13 (1), 150-157, 2022
92022
An advanced and robust approach to maximize solar photovoltaic power production
M Alaraj, A Kumar, I Alsaidan, M Rizwan, M Jamil
Sustainability 14 (12), 7398, 2022
82022
Grey Wolf Optimizer-Based Array Reconfiguration to Enhance Power Production from Solar Photovoltaic Plants under Different Scenarios
A Kumar, M Rizwan, U Nangia, M Alaraj
Sustainability 13 (24), 13627, 2021
82021
A novel fuzzy based intelligent demand side management for automated load scheduling
D Karna, A Vikram, A Kumar, M Rizwan
2020 4th International Conference on Green Energy and Applications (ICGEA …, 2020
82020
Electricity price forecasting using wavelet domain and time domain features in a regression based technique
SK Aggarwal, LM Saini, A Kumar
International Journal of Recent Trends in Engineering 2 (5), 33, 2009
72009
Extraction of maximum electrical power from solar photovoltaic-based grid-tied system
D Karna, A Vikram, A Kumar, M Rizwan
Advances in Energy Technology: Select Proceedings of EMSME 2020, 351-361, 2022
62022
Fault classification using deep learning based model and impact of dust accumulation on solar photovoltaic modules
R Aman, M Rizwan, A Kumar
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 45 …, 2023
52023
Development of ANFIS-based algorithm for MPPT controller for standalone photovoltaic system
A Kumar, M Rizwan, U Nangia
International Journal of Advanced Intelligence Paradigms 18 (2), 247-264, 2021
52021
An analytical approach of integrating automated load scheduling to a smart energy meter using differential evolution algorithm
A Vikram, D Karna, A Kumar, M Rizwan
IOP Conference Series: Materials Science and Engineering 946 (1), 012007, 2020
42020
Advanced Intelligent Approach for Solar PV Power Forecasting Using Meteorological Parameters for Qassim Region, Saudi Arabia
M Alaraj, I Alsaidan, A Kumar, M Rizwan, M Jamil
Sustainability 15 (12), 9234, 2023
22023
Grey Wolf Optimization Inspired Maximum Power Extraction from SPV System for Water Pumping Application
A Kumar, M Bilal, M Rizwan, U Nangia
2022 International Conference for Advancement in Technology (ICONAT), 1-6, 2022
12022
Novel and Efficient Hybrid Deep Learning Approach for Solar Photovoltaic Power Forecasting Considering Meteorological Parameters
R Aman, M Rizwan, A Kumar
2023
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