Institutional Repository
Technical University of Crete
Technical University of Crete
EN
|
EL
| URI | http://purl.tuc.gr/dl/dias/D9C3DC0A-009F-49A2-A075-6DEB106B1F22 | - |
| Identifier | https://doi.org/10.1080/17512549.2017.1410362 | - |
| Identifier | https://www.tandfonline.com/doi/full/10.1080/17512549.2017.1410362 | - |
| Language | en | - |
| Extent | 2 pages | en |
| Title | Artificial intelligence techniques for the smart grid | en |
| Creator | Bassiliades, Nick | en |
| Creator | Chalkiadakis Georgios | en |
| Creator | Χαλκιαδακης Γεωργιος | el |
| Publisher | Taylor & Francis | en |
| Type of Item | Εισαγωγή Επιμελητή | el |
| Type of Item | Editorial | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2019-10-07 | - |
| Date of Publication | 2017 | - |
| Subject | Artificial Intelligence | en |
| Subject | Energy networks | en |
| Subject | ToU pricing | en |
| Subject | Neural networks | en |
| Subject | Reinforcement learning | en |
| Bibliographic Citation | N. Bassiliades and G. Chalkiadakis, "Artificial intelligence techniques for the smart grid," Adv. Build. Energy Res., vol. 12, no. 1, pp. 1-2, Dec. 2017. doi: 10.1080/17512549.2017.1410362 | en |
Copyright © DIAS 2013
