Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Energy Engineering and Power Technology, Physical Therapy, Sports Therapy and Rehabilitation
Forecasting wind speed over multiple horizons: Superiority of deep learning and decomposition-driven hybrid models Ajay Kumar, A.J. Singh, Sanjay Kumar Unconventional Resources, 2026 Accurate wind speed forecasting impacts grid stability, energy pricing, and ability to replace fossil fuels with clean power, however, stochastic nature and nonlinearity of wind make prediction a challenge. To address these challenges, this work explores a range of forecasting strategies like statistical, machine learning (ML), and deep learning (DL) methods, for short-term (ST) and mid-term (MT) horizons. The experimental results across forecast horizons of 3, 6, 12, and 24 steps demonstrate that statistical models perform well at very short horizons (RMSE ≈ 0.55–1.14, R 2 up to 0.40) but degrade rapidly as the forecast length increases, with RMSE above 1.30 and R 2 near 0.00 at a forecasting horizon of 24. ML model XGBoost offers high accuracy and stability in comparison to RF, having an RMSE value of 0.43 and R 2 value 0.78 at step-3, remaining outstanding even compared at step-24, which offered RMSE = 1.00 to 1.18 and R 2 = 0.25 to 0.40, respectively. Transformer consistently performs better in having RMSE = 0.55–0.70 and R 2 up to 0.57 at step-3, and maintains better accuracy for longer horizons with RMSE = 0.95 and R 2 up to 0.50 at step-24. To improve the wind speed forecasting (WSF), Variational Mode Decomposition (VMD) with LSTM has been used by decomposing wind speed signals (WSS) into intrinsic mode functions (IMF). The proposed decomposition-driven hybrid model and advanced deep learning techniques help to achieve accurate and better forecasting and can be implemented in various applications of forecasting. • Traditional statistical models work well for very short forecasts but quickly lose accuracy over longer periods. • Machine learning, especially XGBoost, offers more stable and reliable predictions. • Deep learning models like Transformers deliver the best performance across short- and long-term forecasts. • Using VMD with LSTM further boosts accuracy by filtering noise and capturing hidden wind patterns.
Concentrating Solar Energy Technologies in India: Present Status, Challenges and Directions for Development (a Brief Report) A. Verma, S. Kumar, S. Sengupta Thermal Engineering, 2025 Abstract In India, solar energy, especially concentrated solar power (CSP), offers a promising path toward the production of clean, renewable energy. The government’s ambitions for increasing the capacity of solar electricity and the abundance of solar resources have brought CSP into further spotlight. Notwithstanding its potential, CSP has encountered noteworthy obstacles impeding its extensive use. These difficulties include the absence of trustworthy data, the limitations of domestic production capacity, and the rivalry posed by photovoltaic (PV) technology. India boasts over 300 clear sky days a year with solar radiation of 1700–1900 kW h per kilowatt peak, making it a country with significant potential for producing electricity from solar power systems per watt. The Indian government has set goals to generate an additional 104 GW of solar electricity by 2025 and 448 GW by 2030. In this review, we try to offer a thorough evaluation of the present status of the CSP in India and discuss the obstacle and future potential of the same. This review aims to provide insightful information for researchers, policymakers, industry stakeholders, and practitioners in the renewable energy field.
Analysis of single-cell shading impact on polycrystalline PERC module under hot-dry conditions Neha Kumari, Sanjay Kumar Singh, Sanjay Kumar, Vinay Kumar Jadoun Energy Conversion and Management X, 2025 PV technologies may often perform differently under outdoor operating conditions compared with Standard Test Conditions, which are performed under a controlled setup inside a laboratory. Outdoor-installed PV modules are exposed to continuously varying factors, like solar radiation and temperature, which significantly impact their electrical and thermal behavior. Moreover, due to prolonged exposure to these dynamic conditions, outdoor-installed PV modules are subject to gradual degradation over time. One frequently occurring degradation is partial shading, which can lead to hotspot formation in shaded modules. To predict the formation of the hotspot, it is essential to understand the impact of partial shading in a PV module. In this investigation, indoor and outdoor partial shading stress experiments are conducted on a single cell in a PV module. This methodology accelerates the degradation, and the impact of single-cell shading on the performance of a PV module is analysed. The results are extracted using obtaining I-V and P-V curves for different shading conditions, and various performance parameters like output power and efficiency are recorded to analyse the electrical and thermal response of a shaded module. The experiments performed in outdoor conditions recorded power loss as high as 49 %, and efficiency dropped to 8.11 % from its initial unshaded conditions. Additionally, the results confirm the occurrence of hotspot due to shading. Though indoor experiments did not exhibit any visible temperature rise in the shaded cell, outdoor experiments showed a significant thermal response. The highest temperature of 92.3°C was recorded in the shaded cell under a 40 % single-cell shading condition, highlighting the pronounced impact of real shading and environmental conditions on thermal behavior of a PV module.
SELECTION OF MICRO WIND TURBINE BLADE DESIGN BASED ON SYMMETRIC NACA 4-DIGIT AIRFOILS Sanjay Kumar, Abhishek Verma, Yajvender Pal Verma, Amarjeet Singh Facta Universitatis Series Electronics and Energetics, 2025 Wind power has become a key component for electrical power generation to develop sustainable energy sources. Empowered by the landmark NACA 1933 report on symmetric airfoils, this research paper sets out to revive a historical legacy in aerodynamics by measuring the impact of chord-wise thickness variations on the lift and drag characteristics of symmetric NACA 4-digit airfoils. This study aims to examine the performance of a micro wind turbine that has been expressly developed for rooftop application, where wind speeds are generally low. In the present study, 6 symmetrical designs of the air profile of NACA are taken. Then their characteristics like lift, drag lift and lift-to-drag ratio w.r.t. various angles of attacks have been compared for each profile using Xfoile Software. Finally, it was found the NACA 0025 at ReY No. 106 offers the best lift of 90 with an angle of attack in range of -8.75? ?-10.7 & ratio of lift to drag is 68.9.
Optimal Sizing of Stand Alone Hybrid Renewable Energy System with Load Shifting Sanjay Kumar, Tarlochan Kaur, Subho Upadhyay, Vivek Sharma, Deven Vatsal Energy Sources Part A Recovery Utilization and Environmental Effects, 2025 In the present study, a model is proposed for the sizing optimization of a hybrid renewable energy system (HRES) based on local resource assessment and demand side management (DSM). It involves res...
Intelligent feedback controller for islanded operation of DC nanogrid R Kaur, S Kumar, K Vijayakumar, S Kumar Electrical Engineering 107 (12), 15423-15439 , 2025 2025 Citations: 1
Analysis of single-cell shading impact on polycrystalline PERC module under hot-dry conditions N Kumari, SK Singh, S Kumar, VK Jadoun Energy Conversion and Management: X, 101143 , 2025 2025 Citations: 2
A Survey of Quantum Algorithms for Computer Science A Kumar, AJ Singh, S Kumar International Conference on Advanced Network Technologies and Computational … , 2025 2025 Citations: 2
Artificial Intelligence and Machine Learning Applications for Sustainable Development AJ Singh, N Gupta, S Kumar, S Sharma, S Upadhyay, S Kumar CRC Press , 2025 2025 Citations: 4
Finding the Shortest Distance Between Villages Located in Mountainous Terrain S Agarwal, H Singh, K Lal, S Upadhyay, S Sharma, RK Chauhan, A Saini 2025 International Conference on Cognitive Computing in Engineering … , 2025 2025 Citations: 1
Selection of micro wind turbine blade design based on symmetric NACA 4-digit airfoils S Kumar, A Verma, PY Verma, A Singh Facta universitatis-series: Electronics and Energetics 38 (2), 277-288 , 2025 2025 Citations: 3
Performance comparison of dynamically controlled particle swarm optimization and grey wolf optimizer for dynamic power reserve scheduling in multi areas problems V Kumar, S Kumar International Journal of Ambient Energy 45 (1), 2309333 , 2024 2024 Citations: 1
Efficient High Heating Value estimation using Latin Hypercube Sampling and Artificial Neural Network–based approach S Kumar, D Thakur Environmental Monitoring and Assessment 196 (12), 1167 , 2024 2024 Citations: 11
A review on energy harvesting technologies: Comparison between non-conventional and conceptual approaches K Bhatt, S Kumar, S Kumar, S Sharma, V Singh Energy Reports 12, 4717-4740 , 2024 2024 Citations: 34
Performance investigation of monocrystalline and polycrystalline PV modules under real conditions N Kumari, SK Singh, S Kumar, VK Jadoun IEEE Access 12, 169869-169878 , 2024 2024 Citations: 13
Sustainable Development Using Geospatial Techniques D Thakur, S Kumar, HAS Sandhu, C Prakash John Wiley & Sons , 2024 2024
Prediction of High Heating Value Using ANN Technique Aftermath Natural Disasters D Thakur, S Kumar, B Sharma, IB Dhaou 2024 IEEE/ACS 21st International Conference on Computer Systems and … , 2024 2024
Performance analysis of partially shaded high-efficiency mono PERC/mono crystalline PV module under indoor and environmental conditions N Kumari, SK Singh, S Kumar, VK Jadoun Scientific Reports 14 (1), 21587 , 2024 2024 Citations: 25
Estimation of calorific value using an artificial neural network based on stochastic ultimate analysis D Thakur, S Kumar, V Kumar, T Kaur Renewable Energy 228, 120668 , 2024 2024 Citations: 11
Review on classical and emerging maximum power point tracking algorithms for solar photovoltaic systems N Gupta, MS Bhaskar, S Kumar, DJ Almakhles, T Panwar, A Banyal, ... Journal of Renewable Energy and Environment 11 (2), 18-29 , 2024 2024 Citations: 20
Enabling sustainable freight transport with longer, heavier vehicles in India V Singh, S Tejyan, S Kumar, T Singh Case Studies on Transport Policy 15, 101138 , 2024 2024 Citations: 2
A method for encrypting images based on the AES algorithm N Sharma, P Dhiman, A Chauhan, N Sharma, S Kumar 2023 Seventh International Conference on Image Information Processing (ICIIP … , 2023 2023 Citations: 2
Renewable based techno-economic analysis for telecommunication system: A case study of western Himalaya S Sharma, YR Sood, S Kumar, V Kumar, V Kumar Wind Engineering 47 (5), 897-912 , 2023 2023 Citations: 3
Soft Computing: Theories and Applications Proceedings of SoCTA 2022 SS Rajesh Kumar, Ajit Kumar Verma, Tarun K. Sharma, Om Prakash Verma Springer Nature , 2023 2023
Analysis of COVID-19 outbreak using GIS and SEIR model S Kumar, HAS Sandhu, U Awasthi, SK Singh, P Agarwal Fractional Order Systems and Applications in Engineering, 215-225 , 2023 2023 Citations: 6
MOST CITED SCHOLAR PUBLICATIONS
Development of ANN based model for solar potential assessment using various meteorological parameters S Kumar, T Kaur Energy Procedia 90, 587-592 , 2016 2016 Citations: 88
Application of artificial neural network for short term wind speed forecasting T Kaur, S Kumar, R Segal 2016 Biennial international conference on power and energy systems: towards … , 2016 2016 Citations: 84
Resource estimation and sizing optimization of PV/micro hydro-based hybrid energy system in rural area of Western Himalayan Himachal Pradesh in India S Kumar, T Kaur, MK Arora, S Upadhyay Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 41 … , 2019 2019 Citations: 65
Optimal sizing of stand alone hybrid renewable energy system with load shifting S Kumar, T Kaur, S Upadhyay, V Sharma, D Vatsal Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 47 … , 2017 2017 Citations: 57
A comparative study of different materials used for solar photovoltaics technology N Kumari, SK Singh, S Kumar Materials Today: Proceedings 66, 3522-3528 , 2022 2022 Citations: 51
Efficient solar radiation estimation using cohesive artificial neural network technique with optimal synaptic weights S Kumar, T Kaur Proceedings of the Institution of Mechanical Engineers, Part A: Journal of … , 2020 2020 Citations: 41
Multiarea economic dispatch using evolutionary algorithms S Kumar, V Kumar, N Katal, SK Singh, S Sharma, P Singh Mathematical Problems in Engineering 2021 (1), 3577087 , 2021 2021 Citations: 36
A review on energy harvesting technologies: Comparison between non-conventional and conceptual approaches K Bhatt, S Kumar, S Kumar, S Sharma, V Singh Energy Reports 12, 4717-4740 , 2024 2024 Citations: 34
EESR: Energy efficient sector-based routing protocol for reliable data communication in UWSNs R Kumar, S Shekhar, H Garg, M Kumar, B Sharma, S Kumar Computer Communications 192, 268-278 , 2022 2022 Citations: 31
Performance analysis of partially shaded high-efficiency mono PERC/mono crystalline PV module under indoor and environmental conditions N Kumari, SK Singh, S Kumar, VK Jadoun Scientific Reports 14 (1), 21587 , 2024 2024 Citations: 25
MATLAB-based simulation analysis of the partial shading at different locations on series-parallel pv array configuration N Kumari, SK Singh, S Kumar Transdisciplinary Research and Education Center for Green Technologies … , 2022 2022 Citations: 25
Arduino based solar powered battery charging system for rural SHS T Kaur, J Gambhir, S Kumar 2016 7th India International Conference on Power Electronics (IICPE), 1-5 , 2016 2016 Citations: 24
Energy Audit: A Case Study TK Sanjay Kumar International Journal of Research in Management, Science & Technology 1 (1 … , 2013 2013 Citations: 23
A review on different parametric aspects and sizing methodologies of hybrid renewable energy system S Kumar, S Sharma, YR Sood, S Upadhyay, V Kumar Journal of The Institution of Engineers (India): Series B 103 (4), 1345-1354 , 2022 2022 Citations: 22
Review on classical and emerging maximum power point tracking algorithms for solar photovoltaic systems N Gupta, MS Bhaskar, S Kumar, DJ Almakhles, T Panwar, A Banyal, ... Journal of Renewable Energy and Environment 11 (2), 18-29 , 2024 2024 Citations: 20
Determination of sequent depth of hydraulic jump over sloping floor with rounded and crushed aggregates using experimental and ANN model M Kumar, S Kumar, S Bidhu Water Supply 19 (8), 2240-2247 , 2019 2019 Citations: 14
Performance investigation of monocrystalline and polycrystalline PV modules under real conditions N Kumari, SK Singh, S Kumar, VK Jadoun IEEE Access 12, 169869-169878 , 2024 2024 Citations: 13
Efficient High Heating Value estimation using Latin Hypercube Sampling and Artificial Neural Network–based approach S Kumar, D Thakur Environmental Monitoring and Assessment 196 (12), 1167 , 2024 2024 Citations: 11
Estimation of calorific value using an artificial neural network based on stochastic ultimate analysis D Thakur, S Kumar, V Kumar, T Kaur Renewable Energy 228, 120668 , 2024 2024 Citations: 11
Effect of degradations and their possible outcomes in PV cells N Kumari, SK Singh, S Kumar Renewable Energy Systems: Modeling, Optimization and Applications, 469-515 , 2022 2022 Citations: 10
GRANT DETAILS
Two Project, One completed and one ongoing
RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)
2 patents granted
Industry, Institute, or Organisation Collaboration