@article {NaitMalek2022,
	title = {A Hybrid Approach for State-of-Charge Forecasting in Battery-Powered Electric Vehicles},
	journal = {Sustainability (Switzerland)},
	volume = {14},
	number = {16},
	year = {2022},
	note = {cited By 0},
	abstract = {Nowadays, electric vehicles (EV) are increasingly penetrating the transportation roads in most countries worldwide. Many efforts are oriented toward the deployment of the EVs infrastructures, including those dedicated to intelligent transportation and electro-mobility as well. For instance, many Moroccan organizations are collaborating to deploy charging stations in mostly all Moroccan cities. Furthermore, in Morocco, EVs are tax-free, and their users can charge for free their vehicles in any station. However, customers are still worried by the driving range of EVs. For instance, a new driving style is needed to increase the driving range of their EV, which is not easy in most cases. Therefore, the need for a companion system that helps in adopting a suitable driving style arise. The driving range depends mainly on the battery{\textquoteright}s capacity. Hence, knowing in advance the battery{\textquoteright}s state-of-charge (SoC) could help in computing the remaining driving range. In this paper, a battery SoC forecasting method is introduced and tested in a real case scenario on Rabat-Sal{\'e}-K{\'e}nitra urban roads using a Twizy EV. Results show that this method is able to forecast the SoC up to 180 s ahead with minimal errors and low computational overhead, making it more suitable for deployment in in-vehicle embedded systems. {\textcopyright} 2022 by the authors.},
	keywords = {electric vehicle, forecasting method, Morocco, transportation},
	doi = {10.3390/su14169993},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137735443\&doi=10.3390\%2fsu14169993\&partnerID=40\&md5=95a2dbf1fda5d9cc89e011adc1137835},
	author = {NaitMalek, Y. and Najib, M. and Lahlou, A. and Bakhouya, M. and Gaber, J. and Essaaidi, M.}
}
@conference {Haddad2017484,
	title = {A high gain Novel Dielectric Resonator Antenna (NDRA) for anti-collision short range radar (SRR) application},
	booktitle = {International Conference on Multimedia Computing and Systems -Proceedings},
	year = {2017},
	note = {cited By 0},
	pages = {484-486},
	abstract = {This paper presents the design of Novel Dielectric Resonator Antenna (NDRA) feed by a micro-strip line for anti-collision radar SRR application at 24 GHz. The proposed NDRA operates at a frequency of 24 GHz with a dielectric constant of 18. The simulated NDRA has a high gain (12.24 dB) and a high radiation efficiency (94 \%). The return loss, radiation pattern and gain of the proposed antenna are evaluated. The simulation process was carried out using Computer Simulation Technology (CST) Microwave Studio. {\textcopyright} 2016 IEEE.},
	doi = {10.1109/ICMCS.2016.7905582},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019154107\&doi=10.1109\%2fICMCS.2016.7905582\&partnerID=40\&md5=5e26a28411e91981e44e0fd02ad0dda4},
	author = {Haddad, A. and Aoutoul, M. and Rais, K. and Essaaidi, M.}
}
