@article{MTMT:33742864,
	title = {Plugged-in electric vehicle-assisted demand response strategy for residential energy management},
	url = {https://m2.mtmt.hu/api/publication/33742864},
	author = {Alfaverh, Khaldoon Iqtaish Khaled and Alfaverh, F. and Számel, László},
	doi = {10.1186/s42162-023-00260-9},
	journal-iso = {Energy Inform},
	journal = {Energy Informatics},
	volume = {6},
	unique-id = {33742864},
	year = {2023},
	eissn = {2520-8942},
	orcid-numbers = {Számel, László/0000-0002-6393-7672}
}

@inproceedings{MTMT:33733405,
	title = {Battery Energy Storage System Impact Over Load Frequency Control In Microgrids},
	url = {https://m2.mtmt.hu/api/publication/33733405},
	author = {Alfaverh, Khaldoon Iqtaish Khaled and Számel, László},
	booktitle = {IEEE 5th International Conference and Workshop in Óbuda on Electrical and Power Engineering (CANDO-EPE 2022)},
	doi = {10.1109/CANDO-EPE57516.2022.10046390},
	unique-id = {33733405},
	year = {2022},
	pages = {61-66},
	orcid-numbers = {Számel, László/0000-0002-6393-7672}
}

@article{MTMT:31311955,
	title = {Plugged-in Electric Vehicle-Assisted Demand Response Strategy for Load Scheduling},
	url = {https://m2.mtmt.hu/api/publication/31311955},
	author = {Alfaverh, Khaldoon Iqtaish Khaled and Számel, László},
	journal-iso = {PERIOD POLYTECH ELECTR ENG COMP SCI},
	journal = {PERIODICA POLYTECHNICA-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE},
	unique-id = {31311955},
	issn = {2064-5260},
	abstract = {In order to achieve a successful integrated future energy system, a smart home energy management system is critical for a prosumer. Thanks to advanced technology, it is applicable to monitor and control in real-time different smart home and microgrids applications (e.g. home appliances, renewable energies sources, energy storage systems, electric vehicles). In this paper, we propose a HEMS model including smart scheduling, photovoltaic management, and an optimally designed charging and discharging strategy for PEV to integrate it into the HEMS for helping reduce electricity costs and improve energy utilization. Using fuzzy logic controller on the proposed model, the energy profile of the smart home can ensure both cost reduction and user comfort. Different scenarios are employed here to manifest the performance of the proposed design.},
	year = {2020},
	eissn = {2064-5279}
}

@inproceedings{MTMT:31297421,
	title = {Demand-Response Based Energy Advisor for Household Energy Management},
	url = {https://m2.mtmt.hu/api/publication/31297421},
	author = {Alfaverh, Fayiz and Denai, Mouloud and Alfaverh, Khaldoon Iqtaish Khaled},
	booktitle = {2019 Third World Conference on Smart Trends in Systems Security and Sustainablity (WorldS4)},
	doi = {10.1109/WorldS4.2019.8904042},
	unique-id = {31297421},
	abstract = {Home energy management systems (HEMS) are set to play a key role in the future smart grid (SG). HEMS concept enables residential customers to actively participate in demand response programs (DR) to control their energy usage, reduce peak demand and therefore contribute to improve the performance and reliability of the grid. This paper proposes an energy management strategy for residential end-users. In this framework, a demand response strategy is developed to reduce home energy consumption. The proposed algorithm seeks to minimise peak load demands by scheduling the operation of electric appliances and shifting controllable loads during periods when electricity prices are high, to off-peak periods, when electricity prices are lower without compromising the customer's preferences. The overall system is simulated using MATLAB/Simulink and the results demonstrate the effectiveness of the proposed demand response strategy in managing the daily household energy consumption.},
	year = {2019},
	pages = {153-157}
}