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Dr. Eric Ofori-Ntow Jnr



Mechanical Engineering

Research Interest

Production Optimization, Artificial Intelligence Forecasting, Planning and Maintenance

PhD Engineering and Management
Instituto Superior Tecnico (IST)
MSc Production Engineering and Management
Royal Institute of Technology (KTH)
BSc Mechanical Engineering
University of Mines and Technology (UMaT)
Instituto Superior Tecnico (IST), Lisbon
Royal Institute of Technology (KTH), Stockholm
University of Mines and Technology (UMaT), Tarkwa
International Association of Engineers (IAENG)
  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