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Dr. Nimal Madhu M
Dr. Nimal Madhu M

Assistant Professor

Office Address:

405, NLHC, Department of Electrical Engineering, NIT Calicut, 673601

Contact no:

0495-2281900

Email ID:

nimalmadhum@nitc.ac.in

Home Address:

  • PhD from Asian Institute of Technology, Thailand (Electric Power System Management)

  • M.Tech from Indian Institute of Technology Bombay (Energy Systems Engineering)

  • B.Tech from Govt. Engineering College Thrissur, Kerala (Electrical & Electronics Engineering)

    • Educational Qualifications

    • PhD from Asian Institute of Technology, Thailand (Electric Power System Management)

    • M.Tech from Indian Institute of Technology Bombay (Energy Systems Engineering)

    • B.Tech from Govt. Engineering College Thrissur, Kerala (Electrical & Electronics Engineering)

    Journals

    1. F. A. Nahid, W. Ongsakul, N. Madhu M., J. G. Singh, J. Roy, ”Mode decomposition-based short-term multi-step hybrid solar forecasting model for microgrid applications”, Electrical Engineering, Spinger (2023). 
    2. F. A. Nahid, W. Ongsakul, N. Madhu M., ”Short term multi-steps wind speed forecasting for carbon neutral microgrid by decomposition based hybrid model”, Energy for Sustainable Development, Elsevier, Volume 73, Pages 87-100, 2023. 
    3. A. C. Unni, W. Ongsakul, N. Madhu M., ”Fuzzy Incorporated Black Litterman Model for Renewable Energy Portfolio Optimization”, Electrical Engineering, Springer, 2022.
    4. A. Bhatt, W. Ongsakul, N. Madhu,”Optimal techno-economic feasibility study of net-zero carbon emission microgrid integrating second-life battery energy storage system”, Energy Conversion and Management, Volume 266, 2022.
    5. M. Jisma M, V. Mohan, M. S. Thomas, N. Madhu, ”Risk-Calibrated conventional-renewable generation mix using master-slave portfolio approach guided by flexible investor preferencing”, Energy, Volume 245, January 2022 (Issue April). 
    6. A. Bhatt, W. Ongsakul, N. Madhu, J. G. Singh, ”Sliding window approach with first-order differencing for very short-term solar irradiance forecasting using deep learning models”, Sustainable Energy Technologies and Assessments, Elsevier, Volume 50, January 2022 (Issue March).
    7. A. Bhatt, W. Ongsakul, N. Madhu, J. G. Singh, ”Machine Learning-Based Approach for Useful Capacity Prediction Of Second-Life Batteries Employing Appropriate Input Selection”, International Journal of Energy Research, Wiley, pp. 1-27, August 2021.
    8. N. H. Phuoc, W. Ongsakul, N. Madhu M., N. Sasidharan, ”A Slack-Bus Independent Loss Sensitivity Approach for Optimal Day-Ahead Generation Scheduling”, Electrical Engineering, Springer, May 2021. 
    9. A. Man-Im, W. Ongsakul, N. Madhu M., ”Reliability Enhanced Multi-Objective Economic Dispatch Strategy for Hybrid Renewable Energy System with Storage”, Journal of the Operations Research Society of China, Springer, August 2020.
    10. S. Pookpunt, W. Ongsakul, N. Madhu, ”A Comprehensive Techno-Economic Analysis for Optimally Placed Wind Farms”, Electrical Engineering, Springer, June 2020.
    11. T. Samakpong, W. Ongsakul, M. Nimal Madhu, ”Optimal Power Flow Incorporating Renewable Uncertainty Related Opportunity Costs”, Computational Intelligence, Wiley, pp. 1-26, April 2020. 
    12. A. C. Unni, W. Ongsakul, N. Madhu M., ”Fuzzy-based Novel Risk and Reward Definition Applied for Optimal Generation-Mix Estimation”, Renewable Energy, Elsevier, Vol. 148, pp. 665-673, April 2020. 
    13. A. Man-Im, W. Ongsakul, J. G. Singh, N. Madhu M., ”Multi-Objective Optimal Power Flow Considering Wind Power Cost Functions Using Enhanced PSO With Chaotic Mutation and Stochastic Weights”, Electrical Engineering, Springer, Vol. 101, Issue-3, pp.699-718, August 2019.
    14. V. Mohan; R. Suresh; J. G. Singh; W. Ongsakul, N. Madhu M., ”Microgrid Energy Management Combining Sensitivities, Interval and Probabilistic Uncertainties of Renewable Generation and Loads,” in IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Vol.99, pp. 1-9, March 2017. 
    15. V. Mohan, J. G. Singh, W. Ongsakul, N. Madhu M., R. Suresh, ”Economic and network feasible online power management for renewable energy integrated smart microgrid”, Sustainable Energy, Grids and Networks, Elsevier, Vol. 7, pp. 13-24, September 2016. 
    16. N. Madhu M., N. Sasidharan, J. G. Singh, ”A droop control incorporated dc equivalent power flow method for distribution and low voltage systems,” Electric Power Systems Research, Elsevier, Vol. 134, pp. 56-65, May 2016.
    17. N. Sasidharan, N. Madhu M., J. G. Singh, W. Ongsakul, ”An approach for an efficient hybrid AC/DC solar powered Homegrid system based on the load characteristics of home appliances”, Energy and Buildings, Elsevier, Vol. 108, pp. 23-35, December 2015.
    18. S. Muralee Krishna, N. Madhu M., V. Mohan, R. Suresh M P, J. G. Singh, ”A Generalized Approach for Enhanced Solar Energy Harvesting Using Stochastic Estimation of Optimum Tilt Angles: A Case Study of Bangkok City,” Green, Degruyter, Vol. 5, pp. 1-6, December 2015.

    Conferences

    1. Yadukrishnan V., Abhishek Anilkumar, Arun K. S., Nimal Madhu M., Hareesh V., ”Robust Feature Extraction Technique for Hand Gesture Recognition System”, 6th International Conference on Intelligent Computing and Optimization 2023 (ICO2023), Hua Hin, Thailand, April (27-28), Springer, 2023. 
    2. Abhishek Anilkumar, Yadukrishnan V., Nimal Madhu M., Hareesh V., Premjith B., ”Deep Learning-Based Time Series Forecasting for CO2 Emission”, 6th International Conference on Intelligent Computing and Optimization 2023 (ICO2023), Hua Hin, Thailand, April (27-28), 2023.
    3. Pradeesh P., Nitish U., Nimal Madhu M., Hareesh V., ”Movie recommender system: Addressing scalability and cold start problems” 6th International Conference on Intelligent Computing and Optimization 2023 (ICO2023), Hua Hin, Thailand, April (27-28), 2023.
    4. Nitish U., Pradeesh P., Nimal Madhu M., Hareesh V., Sajith Variyar, ”Glaucoma Detection Using CNN and Study on Class Imbalance Problem”, 6th International Conference on Intelligent Computing and Optimization 2023 (ICO2023), Hua Hin, Thailand, April (27-28), 2023.
    5. Sylesh Namburu S. G., Nandu Vasudevan, Sai Karthik V. M., Nimal Madhu M., Hareesh V., ”Compressive Sensing and Orthogonal Matching Pursuit-based Approach for Image Compression and Reconstruction” 6th International Conference on Intelligent Computing and Optimization 2023 (ICO2023), Hua Hin, Thailand, April (27-28), 2023.
    6. Yazhini, V., Nimal Madhu M., Premjith, B., Gopalakrishnan, E.A., ”Deep Learning with Attention Mechanism for Cryptocurrency Price Forecasting”. Inventive Communication and Computational Technologies. ICICCT 2023. Lecture Notes in Networks and Systems, vol 757, Springer, 2023. 
    7. Arul Goutham, R., Premjith, B., Nimal Madhu, M., Gopalakrishnan, E.A., ”Forecasting Intraday Stock Price Using Attention Mechanism and Variational Mode Decomposition.” Inventive Communication and Computational Technologies. ICICCT 2023. Lecture Notes in Networks and Systems, vol 757. Springer, 2023.
    8. F. Z. Nahid, W. Ongsakul, N. Madhu, ”Very Short Term Wind Speed Forecasting Using Convolutional Long Short Term Memory Recurrent Neural Network” 2020 International Conference on Cogeneration, Small Power Plants and District Energy (ICUE), Thailand, October (20-22) 2020.
    9. M. S. Aung, K. S. Thu, W. Ongsakul, N. M. Madhu, ”Transition of University to Prosumer Consortium Energy Model”, National Conference on Engineering Research, Federation of Myanmar Engineering Societies, Myanmar, January (16) 2020. 
    10. N. Madhu, V. Mohan, J. G. Singh, ”Risk Adjusted Co-optimization of ATC in High-Low Voltage Interconnected Power Systems”, Power Electronics, Drives and Energy Systems (PEDES) Conference, IIT Madras, India, December (18-21) 2018. 
    11. M. Vinduja, A. T. Surendran, N. Madhu, ”A High Step-up DC-DC Converter Based on Integrated Coupled Inductor and Switched Capacitor”, International Conference Power Signals Control and Computation (EPSCICON), VAST, Thrissur, India, January (6-10) 2018.
    12. S. M. Krishna, P. A. Salam, M. N. Madhu, ”Optimal sizing and operational strategies for diesel engine driven CCHP system,” 2016 International Conference on Cogeneration, Small Power Plants and District Energy (ICUE), BITEC, Bangkok, September (14-16) 2016.
    13. N. Madhu, N. Sasidharan, J. G. Singh, ”Droop control incorporated power flow method for distribution and microgrid systems,” 2015 IEEE Innov. Smart Grid Technology, Asia (ISGT ASIA), Bangkok, November (3-6) 2015.
    14. N. Sasidharan, N. Madhu M., J. G. Singh, W. Ongsakul, ”Real Time Active Power Ancillary Service Using DC Community Grid with Electric Vehicles and Demand Response,” Procedia Technology,  Elsevier, Volume 21, pp. 41-48, International Conference on Smart Grid Technologies (ICSGT), Kollam, India, August (6-8) 2015. 
    15. V. Mohan, N. Madhu M., W. Ongsakul, J. G. Singh, R. Suresh, ”Design of strategic information in the deregulated Indian power market: An agent-based approach,” Proc. 2014 International Conference and Utility Exhibition on: Green Energy for Sustainable Development (ICUE), Pattaya, Thailand, March (19-21) 2014. 

    Address:

    National Institute of Technology Calicut,
    NIT Campus P.O 673 601,
    Kozhikode, India.

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