Publications

1. [1]

   Owa, K. & Akinropo, C.

   Enhancing long- and short-term forecasting for optimised microgrid energy management through advanced hybrid deep learning models

   International Journal of Applied Science and Research, 8(1), 17–27

   DOI / link ↗
2. [2]

   Owa, K. & Omosanyin, J.T.

   Design and simulation of hybrid renewable energy system integration of microgrids using Simulink

   Global Journal of Engineering and Technology Advances, 22(1), 142–148

   DOI / link ↗
3. [3]

   Ihianle, I.K., Machado, P., Owa, K., Adama, D.A., Otuka, R. & Lotfi, A.

   Minimising redundancy, maximising relevance: HRV feature selection for stress classification

   Expert Systems with Applications, 239, 122490

   DOI / link ↗
4. [4]

   Ihianle, I.K., Nwajana, A.O., Ebenuwa, S.H., Otuka, R.I., Owa, K. & Orisatoki, M.O.

   A deep learning approach for human activity recognition from multimodal sensing devices

   IEEE Access, 8, 179028–179038

   DOI / link ↗
5. [5]

   Owa, K., Jackson, L. & Jackson, T.

   An intelligent novel tripartite (PSO-GA-SA) optimisation strategy

   International Journal of Metaheuristics, 6(3), 210–233

   DOI / link ↗
6. [6]

   Owa, K., Sharma, S. & Sutton, R.

   A wavelet neural network-based non-linear model predictive controller for a multi-variable coupled tank system

   International Journal of Automation and Computing, 12(2), 156–170

   DOI / link ↗
7. [7]

   Owa, K., Khan, A., Sharma, S. & Sutton, R.

   A non-minimum phase robust nonlinear neuro-wavelet predictive control strategy for a quadruple-tank process

   International Journal of Process Systems Engineering, 4(4), 207–229

   DOI / link ↗
8. [8]

   Teufl, S., Owa, K., Steinhauer, D., Castro, E., Herries, G., John, R. & Ratchev, S.

   OPTIMISED – developing a state-of-the-art system for production planning for Industry 4.0 in the construction industry

   Transdisciplinary Engineering Methods for Social Innovation of Industry 4.0, IOS Press, 756–765

   Horizon 2020 OPTIMISED consortium output