Biography

Dr. M. Madhiarasan

Department of Computer Science and Engineering

Indian Institute of Technology Roorkee, India


Email: mmadhiarasan89@gmail.com


Qualifications

2018 Ph.D., Electrical Engineering in Anna University, Chennai, India

2013 M.Sc., ELECTRICAL DRIVES AND EMBEDDED CONTROL in Anna University, Regional Centre Coimbatore, India

2010 B.Sc., ELECTRICAL AND ELECTRONICS ENGINEERING from Anna University, Chennai in Jaya Engineering College, Thiruninravur, India


Publications (Selected)

  1. Madhiarasan, M. 2021. 'Short-Term Wind Speed Forecasting Using Meta Learning-based Elman Neural Network'. Journal of Physics: Conference Series, vol. 2068, no. 012045, pp. 1-8. DOI:10.1088/1742-6596/2068/1/012045.
  2. Madhiarasan, M., Mohamed Louzazni. 2021. 'Different Forecasting Horizons Based Performance Analysis of Electricity Load Forecasting Using Multilayer Perceptron Neural Network', Forecasting, vol. 3, no. 4, pp. 804-838. DOI: https://doi.org/10.3390/forecast3040049.
  3. Madhiarasan, M., Mohamed Louzazni., Partha Pratim Roy. 2021. 'Novel Cooperative Multi-Input Multilayer Perceptron Neural Network Performance Analysis with Application of Solar Irradiance Forecasting', International Journal of Photoenergy, vol. 2021, Article ID. 7238293, pp.1-24. DOI: https://doi.org/10.1155/2021/7238293.
  4. Madhiarasan, M. 2021. 'Long-Term Wind Speed Prediction using Artificial Neural Network-Based Approaches', AIMS Geosciences, vol. 7, no. 4, pp. 542-552. DOI: 10.3934/geosci.2021031
  5. Madhiarasan, M. 2021. 'Design and development of IoT based solar powered versatile moving robot for military application', International Journal of System Assurance Engineering and Management, vol. 12, no.3, pp. 437-450, DOI: 10.1007/s13198-021-01089-9.
  6. Madhiarasan, M., Tipaldi, M., and Siano, P. 2020. 'Analysis of Artificial Neural Network Performance Based on Influencing Factors for Temperature Forecasting Applications', Journal of High Speed Networks, vol. 26, no. 3, pp. 209-223, DOI: 10.3233/JHS-200639.
  7. Madhiarasan, M., 2020. 'Accurate prediction of different forecast horizons wind speed using a recursive radial basis function neural network'. Protection and Control of Modern Power Systems, vol. 5, no. 22, pp. 1-9. https://doi.org/10.1186/s41601-020-00166-8.
  8. Madhiarasan, M., T Keerthana, Md Shakeel, S Rakesh, & R Gopal 2019. 'Modeling and Implementation IoT based Transmission Line Monitoring, Protection and Control'. Water and Energy International Journal, vol. 62, no. 5, pp. 35-39. Madhiarasan M & Deepa SN 2018, 'Determination of Adequate Hidden Neurons in Combo Neural Network Using New Formulation and Fine Tuning with IMGWOA for Enrich Wind-Speed Forecasting', International Journal of Applied Research on Information Technology and Computing, vol. 9, no. 1, pp. 89-101.
  9. Madhiarasan M & Deepa SN 2018, 'A Novel Method to Select Hidden Neurons in ELMAN Neural Network for Wind Speed Prediction Application', WSEAS Transactions on Power Systems, vol. 13, pp. 13-30.
  10. Madhiarasan M & Deepa SN 2017, 'Comparative Analysis on Hidden Neurons Estimation in Multi Layer Perceptron Neural Networks for Wind Speed Forecasting', Artificial Intelligence Review, vol. 48, no. 4, pp. 449-471, DOI: 10.1007/s10462-016-9506-6.
  11. Madhiarasan M & Deepa SN 2017, 'A New Hybridized Optimization Algorithm to Optimize Echo State Network for Application in Solar Irradiance and Wind Speed Forecasting', World Applied Sciences Journal, vol. 35, no. 4, pp. 596-614.
  12. Madhiarasan M & Deepa SN 2017, 'Review of Forecasters Application to Solar Irradiance Forecasting', International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2, no. 2, pp. 26-30.
  13. Madhiarasan M & Deepa SN 2016, 'A Novel Criterion to Select Hidden Neuron Numbers in Improved Back Propagation Networks for Wind Speed Forecasting', Applied Intelligence, vol. 44, no. 4, pp. 878-893.
  14. Madhiarasan M & Deepa SN 2016, 'Deep Neural Network Using New Training Strategy Based Forecasting Method for Wind Speed and Solar Irradiance Forecast', Middle-East Journal of Scientific Research, vol. 24, no.12, pp. 3730-3747.
  15. Madhiarasan M & Deepa SN 2016, 'Precisious Estimation of Solar Irradiance by Innovative Neural Network and Identify Exact Hidden Layer Nodes through Novel Deciding Standard', Asian Journal of Research in Social Sciences and Humanities, vol. 6, no. 12, pp. 951-974.
  16. Madhiarasan M & Deepa SN 2016, 'ELMAN Neural Network with Modified Grey Wolf Optimizer for Enhanced Wind Speed Forecasting', Circuits and Systems, vol. 7, no. 10, pp. 2975-2995.
  17. Madhiarasan M & Deepa SN 2016, 'New Criteria for Estimating the Hidden Layer Neuron Numbers for Recursive Radial Basis Function Networks and Its
  18. Application in Wind Speed Forecasting', Asian Journal of Information Technology, vol. 15, no. 21, pp. 4377-4391.
  19. Madhiarasan M & Deepa SN 2016, 'Performance Investigation of Six Artificial Neural Networks for Different Time Scale Wind Speed Forecasting in Three Wind Farms of Coimbatore Region', International Journal of Innovation and Scientific Research, vol. 23, no. 2, pp. 380-411.
  20. Madhiarasan M & Deepa SN 2016, 'Application of Ensemble Neural Networks for Different Time Scale Wind Speed Prediction', International Journal of Innovative Research in Computer and Communication Engineering, vol. 4, no. 5, pp. 9610-9617.
  21. Madhiarasan M & Deepa SN 2016, 'Long-Term Wind Speed Forecasting using Spiking Neural Network Optimized by Improved Modified Grey Wolf Optimization Algorithm', International Journal of Advanced Research, vol. 4, no. 7, pp. 356-368.
  22. Madhiarasan M & Deepa SN 2016, 'Comprehensive Study of Various Forecasting Techniques for Forecast of Wind Speed in the Field of Wind Energy System', TIDEE (Teri Information Digest on Energy and Environment), vol. 15, no. 4, pp. 439-457.
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