Our Faculty

Year : 2026

A Deep Fusion Model for Short-Term Load Forecasting Using FEDFormer and FECAM

Cite this Research Publication : Bhuvan Rajasekar, Sachcith G N, Raghuram Sekar, Rahul Satheesh, Sreenu Sreekumar, A Deep Fusion Model for Short-Term Load Forecasting Using FEDFormer and FECAM, 2026 IEEE PES International Meeting (PES IM), IEEE, 2026, https://doi.org/10.1109/pesim67009.2026.11438371

Publisher : IEEE

Year : 2025

ANN-Based Predictive Maintenance for Mini Grid Black Out Prevention

Cite this Research Publication : R. Nethra, Sahaana Shri S.K, CH. Vaishnavi Krishna, Binu Krishnan U, Rahul Satheesh, ANN-Based Predictive Maintenance for Mini Grid Black Out Prevention, 2025 IEEE 4th International Conference on Smart Technologies for Power, Energy and Control (STPEC), IEEE, 2025, https://doi.org/10.1109/stpec66316.2025.11490377

Publisher : IEEE

Year : 2025

Enhancing EV Load Forecasting in Data-Scarce Environments Through Cluster-Informed Transfer Learning

Cite this Research Publication : Srinand S, Rahul Satheesh, Mohan Lal Kolhe, Enhancing EV Load Forecasting in Data-Scarce Environments Through Cluster-Informed Transfer Learning, 2025 12th National Power Electronics Conference (NPEC), IEEE, 2025, https://doi.org/10.1109/npec66512.2025.11450220

Publisher : IEEE

Year : 2025

Leveraging Gated Recurrent Unit for Enhanced Short-Term Load Forecasting: A Computationally Efficient Approach

Cite this Research Publication : Dharshan Kumaar S, Rahul Satheesh, Sreenu Sreekumar, Leveraging Gated Recurrent Unit for Enhanced Short-Term Load Forecasting: A Computationally Efficient Approach, 2025 12th National Power Electronics Conference (NPEC), IEEE, 2025, https://doi.org/10.1109/npec66512.2025.11450231

Publisher : IEEE

Year : 2025

Short-Term Wind Power Forecasting: A Comprehensive Analysis of SARIMAX, SVR, Random Forest, XGBoost, and LSTM Models

Cite this Research Publication : Shruti Sivakumar, Vida Nadheera, Shreya Sriram, Rahul Satheesh, Short-Term Wind Power Forecasting: A Comprehensive Analysis of SARIMAX, SVR, Random Forest, XGBoost, and LSTM Models, 2025 IEEE 22nd India Council International Conference (INDICON), IEEE, 2025, https://doi.org/10.1109/indicon68490.2025.11393031

Publisher : IEEE

Year : 2025

Enhanced Gain DC-DC Converter for Hybrid Energy Systems with Transformerless High-Efficiency Power Integration

Cite this Research Publication : Sivaprasad Athikkal, Rahul Satheesh, Bharatiraja Chokkalingam, Mohan Lal Kolhe, Enhanced Gain DC-DC Converter for Hybrid Energy Systems with Transformerless High-Efficiency Power Integration, 2025 IEEE Power Electronics Society International Decentralized Energy Access Symposium (IDEAS), IEEE, 2025, https://doi.org/10.1109/ideas62193.2025.11157532

Publisher : IEEE

Year : 2025

Classification of Power Quality Disturbance with Synchrosqueezing and Vision Transformer

Cite this Research Publication : Sreshtamol K G, Rahul Satheesh, Sunitha Rajan, Hassan Haes Alhelou, Classification of Power Quality Disturbance with Synchrosqueezing and Vision Transformer, 2025 IEEE Kansas Power and Energy Conference (KPEC), IEEE, 2025, https://doi.org/10.1109/kpec65465.2025.11045008

Publisher : IEEE

Year : 2025

Predictive Models for Voltage Degradation in PEM Fuel Cells Using Gradient Boosting and LSTM Networks

Cite this Research Publication : Kadwe Tanuja Pravin, Swetha Promod M, Rahul Satheesh, Sreenu Sreekumar, Mohan Lal Kolhe, Predictive Models for Voltage Degradation in PEM Fuel Cells Using Gradient Boosting and LSTM Networks, 2025 IEEE North-East India International Energy Conversion Conference and Exhibition (NE-IECCE), IEEE, 2025, https://doi.org/10.1109/ne-iecce64154.2025.11183474

Publisher : IEEE

Year : 2025

Optimizing Plug-in Electric Vehicle Charging with Dyna-Q Reinforcement Learning

Cite this Research Publication : S K Arvind, S Rabi Rayan, Rahul Satheesh, G S Asha Rani, Optimizing Plug-in Electric Vehicle Charging with Dyna-Q Reinforcement Learning, 2025 Fourth International Conference on Power, Control and Computing Technologies (ICPC2T), IEEE, 2025, https://doi.org/10.1109/icpc2t63847.2025.10958689

Publisher : IEEE

Year : 2025

Statistical Load Forecasting in Power Systems: A Comparative Study of SARIMA and Prophet Models

Cite this Research Publication : Naren Sundar L, Sreeja Gurivisetty, Rahul Satheesh, Statistical Load Forecasting in Power Systems: A Comparative Study of SARIMA and Prophet Models, 2025 First International Conference on Advances in Computer Science, Electrical, Electronics, and Communication Technologies (CE2CT), IEEE, 2025, https://doi.org/10.1109/ce2ct64011.2025.10941664

Publisher : IEEE

Year : 2025

State of Health Estimation of Lithium-ion Batteries Using Deep Learning Techniques

Cite this Research Publication : V Harshvardhan, A Rishi Raajha, R S Naveen Sankar, Tanguturi Vinay Krishna Chetty, M Malathi, Rahul Satheesh, State of Health Estimation of Lithium-ion Batteries Using Deep Learning Techniques, 2025 Fourth International Conference on Power, Control and Computing Technologies (ICPC2T), IEEE, 2025, https://doi.org/10.1109/icpc2t63847.2025.10958699

Publisher : IEEE

Year : 2025

Advanced Approach for Short-Term Load Forecasting using Dynamic Mode Decomposition with Control

Cite this Research Publication : Sudarsan R Mohan, Akash S, Rahul Satheesh, Advanced Approach for Short-Term Load Forecasting using Dynamic Mode Decomposition with Control, 2025 Emerging Technologies for Intelligent Systems (ETIS), IEEE, 2025, https://doi.org/10.1109/etis64005.2025.10961043

Publisher : IEEE

Year : 2025

Enhanced Time-Frequency Analysis of Power Quality Disturbances Using Fourier Synchro-Squeezing Transform

Cite this Research Publication : Varshitha Thilak Kumar, Siri Sanjana S, Shreya Arun, Anagha Menon, Sreshtamol K G, Rahul Satheesh, Enhanced Time-Frequency Analysis of Power Quality Disturbances Using Fourier Synchro-Squeezing Transform, 2025 Emerging Technologies for Intelligent Systems (ETIS), IEEE, 2025, https://doi.org/10.1109/etis64005.2025.10961578

Publisher : IEEE

Year : 2025

Deep Learning-Based Load Forecasting in Smart Grid

Cite this Research Publication : Meghaa E, Niranjan R, Rahul Satheesh, Deep Learning-Based Load Forecasting in Smart Grid, 2025 Emerging Technologies for Intelligent Systems (ETIS), IEEE, 2025, https://doi.org/10.1109/etis64005.2025.10961160

Publisher : IEEE

Year : 2025

Statistical Load Forecasting in Power Systems: A Comparative Study of SARIMA and Prophet Models

Cite this Research Publication : Naren Sundar L, Sreeja Gurivisetty, Rahul Satheesh, Statistical Load Forecasting in Power Systems: A Comparative Study of SARIMA and Prophet Models, 2025 First International Conference on Advances in Computer Science, Electrical, Electronics, and Communication Technologies (CE2CT), IEEE, 2025, https://doi.org/10.1109/ce2ct64011.2025.10941664

Publisher : IEEE

Year : 2024

LSTM-Driven State of Charge Estimation for Battery Management

Cite this Research Publication : Tharunkumar S, Thanuj G, Charuvarthan T, Sai Karthikeya V, Pradeesh Prem Kumar, Rahul Satheesh, LSTM-Driven State of Charge Estimation for Battery Management, 2024 IEEE 11th Power India International Conference (PIICON), IEEE, 2024, https://doi.org/10.1109/piicon63519.2024.10995078

Publisher : IEEE

Year : 2024

Advanced Anomaly Detection in Batteries Using Deep Learning Methods

Cite this Research Publication : Ananth Patnaik S, Navaneeth P G, Rahul Satheesh, Advanced Anomaly Detection in Batteries Using Deep Learning Methods, 2024 IEEE 21st India Council International Conference (INDICON), IEEE, 2024, https://doi.org/10.1109/indicon63790.2024.10958290

Publisher : IEEE

Year : 2024

Hand Gesture-Driven Speech Aid for Mute Individuals

Cite this Research Publication : Surya Ha, K S Venkatram, Vishal Seshadri B, Sanggit Saaran K C S, Malathi M, Rahul Satheesh, Hand Gesture-Driven Speech Aid for Mute Individuals, 2024 12th International Conference on Intelligent Systems and Embedded Design (ISED), IEEE, 2024, https://doi.org/10.1109/ised63599.2024.10957074

Publisher : IEEE

Year : 2024

Classification of Power Quality Disturbances Using Machine Learning Methods

Cite this Research Publication : Salla Shivesh, Sai Ved V, Nihal Reddy K V, Rahul Chowdhary I, Sreshtamol K G, Rahul Satheesh, Classification of Power Quality Disturbances Using Machine Learning Methods, 2024 IEEE 1st International Conference on Green Industrial Electronics and Sustainable Technologies (GIEST), IEEE, 2024, https://doi.org/10.1109/giest62955.2024.10959739

Publisher : IEEE

Year : 2024

Fault Detection in Photovoltaic System Using Machine Learning Techniques and ANN

Cite this Research Publication : Megha R, Uma Lakshmi V, Rahul Satheesh, Fault Detection in Photovoltaic System Using Machine Learning Techniques and ANN, 2024 IEEE 1st International Conference on Green Industrial Electronics and Sustainable Technologies (GIEST), IEEE, 2024, https://doi.org/10.1109/giest62955.2024.10959985

Publisher : IEEE

Year : 2024

Enhanced Solar Power Forecasting with CNNs Using Sky Imagery and Cloud Detection

Cite this Research Publication : Karthika S S, Surya K, Rahul Satheesh, Enhanced Solar Power Forecasting with CNNs Using Sky Imagery and Cloud Detection, 2024 11th International Conference on Advances in Computing and Communications (ICACC), IEEE, 2024, https://doi.org/10.1109/icacc63692.2024.10845330

Publisher : IEEE

Year : 2026

Bayesian-Optimized Predictive Modelling of Electric Arc Furnace Power Consumption for Industrial Deployment

Cite this Research Publication : Ranjith Raja B, Advaith Krishna, Rahul Satheesh, Sreenu Sreekumar, Mohan Lal Kolhe, Bayesian-Optimized Predictive Modelling of Electric Arc Furnace Power Consumption for Industrial Deployment, IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), 2026, https://doi.org/10.1109/access.2026.3655696

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2026

A robust decomposition-denoising deep learning framework with dynamic intraperiod ramping for cost-effective balancing market operation

Cite this Research Publication : Chandransh Singh, Sreenu Sreekumar, Dileep. G., Vishnu Suresh, Rahul Satheesh, A robust decomposition-denoising deep learning framework with dynamic intraperiod ramping for cost-effective balancing market operation, Applied Soft Computing, Elsevier BV, 2026, https://doi.org/10.1016/j.asoc.2026.115049

Publisher : Elsevier BV

Year : 2026

Comparative Analysis of Vision Transformer Models in Power Quality Disturbance Classification

Cite this Research Publication : Sreshtamol K G, Rahul Satheesh, Sunitha Rajan, Hassan Haes Alhelou, Comparative Analysis of Vision Transformer Models in Power Quality Disturbance Classification, IEEE Transactions on Industry Applications, Institute of Electrical and Electronics Engineers (IEEE), 2026, https://doi.org/10.1109/TIA.2026.3675198

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2026

An integrated machine learning framework for EV charging management

Cite this Research Publication : Nandith Sreekumar, Rahul Satheesh, G. S. Asha Rani, Sheik Mohammed Sulthan, An integrated machine learning framework for EV charging management, Scientific Reports, Springer Science and Business Media LLC, 2026, https://doi.org/10.1038/s41598-026-51628-2

Publisher : Springer Science and Business Media LLC

Year : 2025

Design And Implementation Of Energy Management System For Optimal Hybrid Residential Microgrid

Cite this Research Publication : M. K. Nesihath, K. Nafeesa, Sasidharan Sreedharan, Sheik Mohammed Sulthan, Rahul Satheesh, Mohan Lal Kolhe, Design and implementation of energy management system for optimal hybrid residential microgrid, Electrical Engineering, Springer Science and Business Media LLC, 2025, https://doi.org/10.1007/s00202-025-03410-2

Publisher : Springer Science and Business Media LLC

Year : 2025

AI-driven cybersecurity framework for anomaly detection in power systems

Cite this Research Publication : Vignes V. M., Sri Harini M. P., Rahul Satheesh, Vipin Das, Sanjeevikumar Padmanaban, AI-driven cybersecurity framework for anomaly detection in power systems, Scientific Reports, Springer Science and Business Media LLC, 2025, https://doi.org/10.1038/s41598-025-19634-y

Publisher : Springer Science and Business Media LLC

Year : 2025

Accurate induction motor fault classification using infrared thermal images

Cite this Research Publication : Sachin Singh, Avula Muneeswari, Liton Mia, Sreenu Sreekumar, Rahul Satheesh, Accurate induction motor fault classification using infrared thermal images, Infrared Physics & Technology, Elsevier BV, 2025, https://doi.org/10.1016/j.infrared.2025.106253

Publisher : Elsevier BV

Year : 2025

Advancing short-term wind power forecasting by AI-driven models for improved accuracy

Cite this Research Publication : B. Kishore, K. Kabilan, L. S. Rahul, G. Prajwal Priyadarshan, E. P. Vishnutheerth, Rahul Satheesh, Mohan Lal Kolhe, Advancing short-term wind power forecasting by AI-driven models for improved accuracy, Electrical Engineering, Springer Science and Business Media LLC, 2025, https://doi.org/10.1007/s00202-025-03295-1

Publisher : Springer Science and Business Media LLC

Year : 2025

Enhanced Electric Vehicle Energy Consumption Prediction With TabTransformer, TabNet, and Bidirectional Encoder Representations From Transformers Embeddings

Cite this Research Publication : Muhammed Shibil C V, Amal M K, Rahul Satheesh, Hassan Haes Alhelou, Enhanced Electric Vehicle Energy Consumption Prediction With TabTransformer, TabNet, and Bidirectional Encoder Representations From Transformers Embeddings, IEEE Transactions on Industrial Informatics, Institute of Electrical and Electronics Engineers (IEEE), 2025, https://doi.org/10.1109/tii.2025.3576840

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2024

A Comprehensive Approach to Wind Power Forecasting Using Advanced Hybrid Neural Networks

Cite this Research Publication : E. P. Vishnutheerth, V. Vijay, R. Satheesh and M. L. Kolhe, "A Comprehensive Approach to Wind Power Forecasting Using Advanced Hybrid Neural Networks," in IEEE Access, vol. 12, pp. 124790-124800, 2024, doi: 10.1109/ACCESS.2024.3450096.

Publisher : IEEE Access

Year : 2024

Data-Driven Energy Management of an Electric Vehicle Charging Station Using Deep Reinforcement Learning

Cite this Research Publication : Dr. Rahul Satheesh (G. S. Asha Rani, P. S. Lal Priya, J. Jayan, R. Satheesh and M. L. Kolhe, "Data-Driven Energy Management of an Electric Vehicle Charging Station Using Deep Reinforcement Learning," in IEEE Access, vol. 12, pp. 65956-65966, 2024, doi: 10.1109/ACCESS.2024.3398059)

Year : 2023

Lower Limb EMG Signal Analysis Using Scattering Transform and Support Vector Machine for Various Walking Conditions

Cite this Research Publication : V. M. Akhil, R. Satheesh, M. Ashmi and C. D. Tawk, "Lower Limb EMG Signal Analysis Using Scattering Transform and Support Vector Machine for Various Walking Conditions," in IEEE Access, vol. 11, pp. 129566-129575, 2023, doi: 10.1109/ACCESS.2023.3332664.

Publisher : IEEE

Year : 2023

Ambient oscillatory mode assessment in power system using an advanced signal processing method

Cite this Research Publication : Rahul Satheesh, Sunitha Rajan, "Ambient oscillatory mode assessment in power system using an advanced signal processing method", ISA Transactions, 2023, ISSN 0019-0578, https://doi.org/10.1016/j.isatra.2023.08.012.

Year : 2022

Assessment of mode shape in power system using TVF-EMD and spectral analysis

Cite this Research Publication : Rahul S, Sunitha R, Assessment of mode shape in power system using TVF-EMD and spectral analysis, Electric Power Components & Systems Journal, Taylor and Francis , June 2022, DOI: 10.1080/15325008.2022.2136297

Year : 2022

Estimation of mode shape in power systems under ambient conditions using advanced signal processing approach

Cite this Research Publication : Rahul S, Sunitha R, Estimation of mode shape in power systems under ambient conditions using advanced signal processing approach, Turkish Journal of Electrical Engineering and Computer science, vol.30, no.4, pp.1460-1474, 2022.

Year : 2022

Identification of oscillatory modes in power system using deep learning approach

Cite this Research Publication : Rahul S, Nashida C, Sunitha R, Manu Madhavan, and Hassan Haes Alhelou, Identification of oscillatory modes in power system using deep learning approach, IEEE Access, vol. 10, pp. 16556-16565, 2022.

Publisher : IEEE

Year : 2021

Dominant Electromechanical Oscillation Mode Identification using Modified Variational Mode Decomposition

Cite this Research Publication : Rahul S and Sunitha R, Dominant Electromechanical Oscillation Mode Identification using Modified Variational Mode Decomposition, Arabian Journal for Science and Engineering, Springer, 46(10), pp. 10007-10021,2021.

Year : 2024

Enhanced Electric Load Forecasting with Weather and Economic indicators using Machine Learning Models

Cite this Research Publication : Nimith K. S, Nandana Praveen, Rahul Satheesh, Malathi M, Enhanced Electric Load Forecasting with Weather and Economic indicators using Machine Learning Models, 2024 IEEE 11th Power India International Conference (PIICON), IEEE, 2024, https://doi.org/10.1109/piicon63519.2024.10995053

Publisher : IEEE

Year : 2024

Impact of Activation Functions in Deep Learning Based State of Charge Estimation for Batteries

Cite this Research Publication : P. P. Kumar, R. Satheesh and H. H. Alhelou, "Impact of Activation Functions in Deep Learning Based State of Charge Estimation for Batteries," 2024 IEEE 4th International Conference on Sustainable Energy and Future Electric Transportation (SEFET), Hyderabad, India, 2024, pp. 1-6, doi: 10.1109/SEFET61574.2024.10718061.

Publisher : IEEE

Year : 2023

Analyzing dominant oscillatory modes in power system using unidirectional and bidirectional LSTM Techniques

Cite this Research Publication : R. Satheesh, P. Patel, A. V. M and S. Rajan, "Analyzing dominant oscillatory modes in power system using unidirectional and bidirectional LSTM Techniques," 2023 IEEE PES 15th Asia-Pacific Power and Energy Engineering Conference (APPEEC), Chiang Mai, Thailand, 2023, pp. 1-6, doi: 10.1109/APPEEC57400.2023.10561940.

Publisher : IEEE

Year : 2022

Identification of dominant modes in power system using unsupervised learning approaches

Cite this Research Publication : Parthkumar Patel, Rahul S, Sunitha R, Identification of dominant modes in power system using unsupervised learning approaches, ICONAT 2022: International Conference for Advancement in Technology at Goa organized by IEEE Bombay section.

Publisher : IEEE

Year : 2021

Prediction of Electromechanical Oscillatory Parameters in Power Systems Using ANN

Cite this Research Publication : Nashida C, Rahul S and Sunitha R, Prediction of Electromechanical Oscillatory Parameters in Power Systems Using ANN, 2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies, 2021, pp. 1-5.

Year : 2021

Oscillation Mode Assessment in Power System Using Multivariate Variational Mode Decomposition

Cite this Research Publication : S. Rahul, R. Sunitha and V. M. Akhil, "Oscillation Mode Assessment in Power System Using Multivariate Variational Mode Decomposition," IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society, 2021, pp. 1-6, doi: 10.1109/IECON48115.2021.9589384.

Year : 2019

Nonlinear Nonstationary Analysis Techniques for Mode Shape Estimation in Power Systems

Cite this Research Publication : Rahul S and Sunitha R, Nonlinear Nonstationary Analysis Techniques for Mode Shape Estimation in Power Systems, 2019 Innovations in Power and Advanced Computing Technologies (i-PACT), 2019, pp. 1-6.

Publisher : IEEE

Year : 2015

Assessment of Six Phase Synchronous Generator Using Fuzzy Controller

Cite this Research Publication : N Rathika, A Senthil Kumar, Rahul S, Assessment of Six Phase Synchronous Generator Using Fuzzy Controller, in Power Electronics and Renewable Energy Systems, pp. 903-912, Springer Lecture Notes in Electrical Engineering.

Year : 2014

Analysis and control of multiphase synchronous generator for renewable energy generation

Cite this Research Publication : N. Rathika, A. Senthil Kumar, P. Sivakumar and Rahul S, Analysis and control of multiphase synchronous generator for renewable energy generation,2014 International Conference on Advances in Electrical Engineering (ICAEE), 2014, pp. 1-6.

Publisher : IEEE

Year : 2021

Artificial Intelligence and Internet of Things for Renewable Energy Systems

Cite this Research Publication : , Artificial Intelligence and Internet of Things for Renewable Energy Systems, null, De Gruyter, 2021, https://doi.org/10.1515/9783110714043

Publisher : De Gruyter

Year : 2021

Smart grid-based big data analytics using machine learning and artificial intelligence: a survey

Cite this Research Publication : Subin Koshy, Rahul S, Sunitha R and Elizabeth P Cheriyan,” Smart grid-based big data analytics using machine learning and artificial intelligence: a survey”, In Artificial Intelligence and Internet of Things for Renewable Energy Systems, De Gruyter,2021.

Year : 2020

Electromechanical Mode Estimation in Power System Using a Novel Nonstationary Approach

Cite this Research Publication : Rahul S, Subin Koshy and Sunitha R,” Electromechanical Mode Estimation in Power System Using a Novel Nonstationary Approach", In Wide Area Power Systems Stability, Protection, and Security, Springer,2020