Neural network control of green energy vehicles with blended braking systems
author
Vodovozov, Valery
Petlenkov, Eduard
Aksjonov, Andrei
Raud, Zoja
statement of authorship
V. Vodovozov, E. Petlenkov, A. Aksjonov and Z. Raud
source
Renewable Energy & Power Quality Journal
special issue
19th International Conference on Renewable Energies and Power Quality (ICREPQ’21)
publisher
EA4EPQ
journal volume number month
vol. 19
year of publication
2021
pages
p. 344-349
conference name, date
19th International Conference on Renewable Energies and Power Quality (ICREPQ’21), 28th to 30th July 2021
conference location
Almeria (Spain)
url
https://doi.org/10.24084/repqj19.291
subject term
elektrisõidukid
taastuvenergia
tehisnärvivõrgud
keyword
electric vehicle
clean energy
neural network
recuperative braking
ISSN
2172-038X
notes
Bibliogr.: 26 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/21100916460
https://www.scopus.com/record/display.uri?eid=2-s2.0-85114684470&origin=inward&txGid=c39686ecbbea649b4f16c486461ff764
category (general)
Energy
Energia
Engineering
Tehnika
category (sub)
Energy. Energy engineering and power technology
Energia. Energiatehnika ja energeetika
Energy. Renewable energy, sustainability and the environment
Energia. Taastuvenergia, jätkusuutlikkus ja keskkond
Engineering. Electrical and electronic engineering
Tehnika. Elektri- ja elektroonikatehnika
quartile
Q4
TalTech department
elektroenergeetika ja mehhatroonika instituut
arvutisüsteemide instituut
language
inglise
Reserch Group
Centre for intelligent systems