FERAS MUHIEDDIN MAHMOUD ALASALI

FERAS MUHIEDDIN MAHMOUD ALASALI	Associate Professor
Electrical power Engineering	Electrical Powers Engineering
Faculty of Engineering	Department of Electrical Engineering
ferasasali@hu.edu.jo	http://staff.hu.edu.jo/ferass
ORCID ID : 21413059
Office No. : 4894	EXT : 4894

C.V. Document file as PDF:

Ph.D.	University of Reading	United Kingdom,2019
Master	Yarmouk University	Jordan,2013
Bachelor	Al-Balqa' Applied University	Jordan,2006

 My current research interest is focused in the area of electrical power systems, smart grid, load forecasting as well as control system and modelling of energy storage systems. These interests include control of energy storage and power systems based on load forecasting. Recent areas have included:
*Load Forecasting Modelling: Quantifying low voltage network demand uncertainty, developing different forecasts for network planning and management, and utilising scenario forecasts to
estimate the impact of using energy storage systems in the low voltage network.
* Control: Utilising forecasting methodologies to optimise the control of energy storage devices connected to the low voltage network.
* Optimisation: Applying optimisation methods such as stochastic model predictive control and genetic algorithm to optimally simulate network loads. Investigating the forecast error impact on the performance of optimal control model.

*Alasali, F.; Foudeh, H.; Ali, E.M.; Nusair, K.; Holderbaum, W. Forecasting and Modelling the Uncertainty of Low Voltage Network Demand and the Effect of Renewable Energy Sources. Energies 2021, 14, 2151. https://doi.org/10.3390/en14082151
*Alasali, F., Nusair, K., Alhmoud, L. and Zarour, E. Impact of the COVID-19 Pandemic on Electricity Demand and Load Forecasting. Sustainability 2021, 13, 1435.
*Alasali, F.; El-Naily, N.; Zarour, E.; Saad, S. Highly Sensitive and Fast Microgrid Protection Using Optimal Coordination Scheme and Nonstandard Tripping Characteristics. International Journal of Electrical Power and Energy Systems, Elsevier, accepted, Dec. 2020
*Nusair, K.; Alasali, F. Optimal Power Flow Management System for a Power Network with Stochastic Renewable Energy Resources using Golden Ratio Optimization Method. Energies 2020, 13, 3671.

 *Alasali, F.; Haben, S.; Foudeh, H.; Holderbaum, W. 
A Comparative Study of Optimal Energy Management Strategies for Energy Storage with Stochastic Loads. Energies 2020, 13, 2596.
* Pietrosanti, S.; Alasali, F.; Holderbaum, W. Power Management System for RTG Crane Using Fuzzy Logic Controller. Sustainable Energy Technologies and Assessments, Elsevier, vol. 37, 100639, 2020.
* Alasali, F.; Haben, S.; Holderbaum, W. Energy management systems for a network of electrified cranes with energy storage. International Journal of Electrical Power and Energy Systems, Elsevier, vol. 106, pp 210-222, 2019.
* Alasali, F.; Haben, S.; Holderbaum, W. Stochastic Optimal Energy Management System for RTG Cranes Network Using Genetic Algorithm and Ensemble Forecasts. Journal of Energy Storage, Elsevier, vol. 24, 100759, 2019.
* Alasali, F.; Luque, A.; Mayer, R.; Holderbaum, W. A Comparative Study of Energy Storage System and Active Front End for Network of two electrified RTG cranes. Energies, MDPI, vol. 12, 1771, 2019.
*Alasali, F.; Haben, S.; Becerra, V.; Holderbaum, W. Day-ahead industrial load forecasting for electric RTG cranes. Journal of Modern Power Systems and Clean Energy, Springer, vol.6, pp. 223- 234, 2018.
*Alasali, F.; Haben, S.; Becerra, V.; Holderbaum, W. Optimal energy management and MPC strategies for electrified RTG cranes with energy storage systems. Energies, MDPI, vol. 10, 2017.
* Alasali, F.; Becerra, V.; Holderbaum, W. Peak power reduction for electrified Rubber-Tyred Gantry (RTG) cranes using energy storage. 8th International Symposium on Automatic Control - AUTSYM" conference, Germany, 2017.
* Alasali, F.; Haben, S.; Becerra, V.; Holderbaum, W. Analysis of RTG Crane Load Demand and Short-term Load Forecasting. International Congress on Advances in Engineering and Technological Developments conference, London, 2016.
* Luque, A.; Alasali, F.; Holderbaum, W.; Becerra, V.; et al. Energy reduction on eRTG. IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC), Florence, 2016.
* Alasali, F.; Becerra, V.; Holderbaum, W. Energy Reduction and Peak shifting on a Network of Cranes. International Conference on Energy, Environment and Economics, Edinburgh, United Kingdom, pp. 137-143, 2016

 *September 2019 – present, Assistant Professor, Hashemite University, Jordan.
*June 2019 – present, Visiting Researcher , University of Reading, UK.
* September 2015 until June 2019, Assistant Researcher, University of Reading, UK.
* December 2013 until September 2015, Project Manager in Al-Gihaz Co. for HV /MV substation 110/13.8 KV Saudi Arabia.
* October 2007 until September 2013, Protection and metering engineer, Electricity Distribution Company [EDCO].

 1- Smart Grid.
2- Power system protection
4- Electrical Circuits
4- Electrical machines

*  September 2019 – present, Assistant Professor, Hashemite University, Jordan.
* June 2019 – present, Visiting Researcher , University of Reading, UK.
* September 2015 until June 2019, Assistant Researcher, University of Reading, UK.

 *Membership in IEEE.
* Membership in Jordan Engineers Association.
* Membership in Saudi Council of Engineers.

 * June 2019 – present, Visiting Researcher , University of Reading, UK.
* Reviewer  :
- Since 2019: The International Journal of Power and Energy Systems.
- Since 2019: eTransportation Journal.
- Since 2019: Journal of Energy Storage.
- Since 2019: Electronics.
- Since 2019: sustainability.
- Since 2018: Applied sciences.
- Since 2018: Energies.
- Since 2018: Processes.
- Since 2017: Journal of Modern power Systems and Clean Energy.

FERAS MUHIEDDIN MAHMOUD ALASALI

FERAS MUHIEDDIN MAHMOUD ALASALI

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