Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models
This work aims at improving the energy consumption forecast of electric vehicles by enhancing the prediction with a notion of uncertainty. The algorithm itself learns from driver and traffic data in a training set to generate accurate, driver-individual energy consumption forecasts.
Saved in:
| Superior document: | Karlsruher Schriftenreihe Fahrzeugsystemtechnik |
|---|---|
| : | |
| Year of Publication: | 2022 |
| Language: | English |
| Series: | Karlsruher Schriftenreihe Fahrzeugsystemtechnik
|
| Physical Description: | 1 electronic resource (192 p.) |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| LEADER | 01548nam-a2200409z--4500 | ||
|---|---|---|---|
| 001 | 993545044704498 | ||
| 005 | 20231214133046.0 | ||
| 006 | m o d | ||
| 007 | cr|mn|---annan | ||
| 008 | 202206s2022 xx |||||o ||| 0|eng d | ||
| 020 | |a 1000143200 | ||
| 035 | |a (CKB)5860000000051233 | ||
| 035 | |a (oapen)https://directory.doabooks.org/handle/20.500.12854/84371 | ||
| 035 | |a (EXLCZ)995860000000051233 | ||
| 041 | 0 | |a eng | |
| 100 | 1 | |a Scheubner, Stefan |4 auth | |
| 245 | 1 | 0 | |a Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models |
| 260 | |a Karlsruhe |b KIT Scientific Publishing |c 2022 | ||
| 300 | |a 1 electronic resource (192 p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Karlsruher Schriftenreihe Fahrzeugsystemtechnik | |
| 520 | |a This work aims at improving the energy consumption forecast of electric vehicles by enhancing the prediction with a notion of uncertainty. The algorithm itself learns from driver and traffic data in a training set to generate accurate, driver-individual energy consumption forecasts. | ||
| 546 | |a English | ||
| 650 | 7 | |a Mechanical engineering & materials |2 bicssc | |
| 653 | |a Elektromobilität | ||
| 653 | |a Vorhersagen | ||
| 653 | |a Algorithmen | ||
| 653 | |a Fahrzeugtechnik | ||
| 653 | |a Energiemanagement | ||
| 653 | |a E-Mobility | ||
| 653 | |a Forecasting | ||
| 653 | |a Algorithms | ||
| 653 | |a Vehicle Technology | ||
| 653 | |a Energy Management | ||
| 776 | |z 3-7315-1166-5 | ||
| 906 | |a BOOK | ||
| ADM | |b 2023-12-15 05:41:11 Europe/Vienna |f system |c marc21 |a 2022-07-02 22:45:44 Europe/Vienna |g false | ||
| AVE | |i DOAB Directory of Open Access Books |P DOAB Directory of Open Access Books |x https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5337835970004498&Force_direct=true |Z 5337835970004498 |b Available |8 5337835970004498 | ||