Projects per year
Dr Chris Ogwumike is a Lecturer of Electrical and Electronic Engineering in the School of Computing, Engineering and Digital Technologies (SCEDT), Teesside University. Chris holds a BEng degree in Electrical and Electronic Engineering (2006, Enugu State University of Science and Technology, Nigeria), MSc Information Technology Management (2010, Teesside University) and a PhD degree (2018, Teesside University) awarded following successful completion of research and development of ‘An Intelligent Decision Support System (IDSS) for Efficient Scheduling of Smart Home Appliances in a Smart Grid’.
Following the award of his PhD, Chris spent three years working on H2020 funded research and innovation projects – Demand Response in Blocks of Buildings (DR-BoB) and the inteGRIDy projects in the SCEDT, Teesside University, first as a Postdoc Research Assistant, and then a Research Associate. Chris’s previous academic roles includes Part time Tutor at Teesside University during his PhD, Lecturer in Electrical & Electronic Engineering at Bishop Auckland College – South West Durham Training; and a Module tutor, Teesside University Open Learning Engineering (TUOLE).
Chris is a Member of Institution of Engineering and Technology (MIET), an Associate Fellow of Higher Education Academy (AFHEA) and a Guest editor of Special Issue ‘Integrating Smart Energy Systems for Sustainable Development’. Chris is research active and has peer-reviewed publications in journals and conferences.
Summary of Research Interests
Dr Chris Ogwumike’s main research interest is focused on Demand Side Integration (Demand Response in built environment, Renewable/Distributed Generations integration, Load forecasting using Machine Learning techniques, and development of Decision-making systems); Techno-economic assessment and evaluation; and Decarbonisation of industrial sector (strategies and framework development).
Areas of research application includes Smart Grids and Smart Energy Systems, Energy Efficiency and Optimisation.
Chris is open for PhD Research supervision and keen to establish further collaboration with Industry.
- 1 Similar Profiles
1/07/21 → 30/06/23
inteGRIDy: integrated Smart GRID Cross-Functional Solutions for Optimized Synergetic Energy Distribution, Utilization & Storage Technologies H2020 Grant Agreement Number: 731268
1/01/17 → 30/06/21
Application of Cost Benefits Analysis for the Implementation of Renewable Energy and Smart Solution Technologies: A Case Study of InteGRIDy Project †Gudlaugsson, B., Ahmed, T. G., Dawood, H., Ogwumike, C. & Dawood, N., 3 Dec 2021, In: Environmental Sciences Proceedings. 11, 1, 6 p.
Research output: Contribution to journal › Conference article › peer-reviewOpen AccessFile15 Downloads (Pure)
Ogwumike, C., Dawood, H., Ahmed, T. G., Gudlaugsson, B. & Dawood, N., 1 Dec 2021, Environmental sciences proceedings. 6 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contributionOpen AccessFile17 Downloads (Pure)
Mounter, W., Ogwumike, C., Dawood, H. & Dawood, N., 18 Sep 2021, In: Energies. 14, 18, 5947.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile21 Downloads (Pure)
Optimal Battery Dispatch Using Finite-Input Set Non-Linear Model Predictive Control: Algorithm Development and Case StudyAbugchem, F., Short, M., Ogwumike, C. & Dawood, H., 29 Dec 2021, In: Electronics. 11, 1, 19 p.
Research output: Contribution to journal › Article › peer-reviewOpen Access
Ogwumike, C., Short, M. & Abugchem, F., 7 Nov 2016, 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation, ETFA 2016. Institute of Electrical and Electronics Engineers Inc., Vol. 2016-November. 7733613
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
An Intelligent Decision Support System for Efficient Scheduling of Smart Home Appliances in a Smart GridAuthor: Ogwumike, C., 10 Jan 2018
Supervisor: Short, M. (Supervisor)
Student thesis: Doctoral ThesisFile