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Dr. Eric Ofori-Ntow Jnr

eofori@umat.edu.gh


Position

Department

Mechanical Engineering

Research Interest

Production Optimization, Artificial Intelligence Forecasting, Planning and Maintenance




2023
PhD Engineering and Management
Instituto Superior Tecnico (IST)
2011
MSc Production Engineering and Management
Royal Institute of Technology (KTH)
2008
BSc Mechanical Engineering
University of Mines and Technology (UMaT)
2018--2023
Instituto Superior Tecnico (IST), Lisbon
2009--2011
Royal Institute of Technology (KTH), Stockholm
2004--2008
University of Mines and Technology (UMaT), Tarkwa
2023--
International Association of Engineers (IAENG)
2016--Date
Lecturer
  1. Ofori-Ntow Jnr, E., Ziggah, Y. Y., Rodrigues, M. J., & Relvas, S. (2022), "A New Long-Term Photovoltaic Power Forecasting Model Based on Stacking Generalization Methodology", Natural Resources Research, , 1-23

  2. Ofori-Ntow Jnr, E., Ziggah, Y. Y., Rodrigues, M. J., & Relvas, S (2022), "A hybrid chaotic-based discrete wavelet transform and Aquila optimisation tuned-artificial neural network approach for wind speed prediction", Results in Engineering, 14 100399,

  3. Ofori-Ntow, E. J., Ziggah, Y. Y., & Relvas, S. (2021), "Hybrid ensemble intelligent model based on wavelet transform, swarm intelligence and artificial neural network for electricity demand forecasting.", Sustainable Cities and Society, 66 102679,

  4. Eme, P., & Ofori-Ntow, E. J (2019), "Investigation into Early Loss of Lubricant Viscosity in Agitator Gear Box at CIL Plant at Goldfields Ghana Limited", International Journal of Innovative Science and Research Technology, 4 2456-2165,

  5. Simons, A. & Ofori-Ntow, J. E. (2015), "Modification in the Design of a Service Truck Used in the Mining Sites", International Journal of Scientific & Engineering Research, 6 8,

  6. Ofori-Ntow, E. J. (2011), "Implementing lean in a medium scale industry-a case study at Country-Cone Enterprises Ltd. Ghana", Master of Science Thesis, KTH School of Industrial Engineering and Management (ITM), Production Engineering, ,

  1. Ofori-Ntow Jnr, E., Ziggah, Y. Y., Rodrigues, M. J., & Relvas, S (2022), "Comparative Study of two Nature Inspired Algorithms in Optimized ANN for Wind Speed Forecasting", 2ND FORUM OF REVOLUTIONS IN RENEWABLE ENERGY IN 21ST CENTURY Mar 21 - 22, 2022 - Budapest, Hungary, Paper presentation
Ofori-Ntow Jnr, E., Ziggah, Y. Y., Rahmani-Andebili, M., Rodrigues, M. J., & Relvas, S.(2022), A Novel Three-Stage Short-Term Photovoltaic Prediction Approach Based on Neighborhood Component Analysis and ANN Optimized with PSO (NCA-PSO-ANN) In Applications of Artificial Intelligence in Planning and Operation of Smart Grids , 75-95