Distributed and Self-learning Approaches for Energy Management-Reference-Cited by-同舟云学术

Distributed and Self-learning Approaches for Energy Management

Published:2021 Issue: Volume: Page:307-327
ISSN:
Container-title:Towards Energy Smart Homes
language:
Short-container-title:

Author:

Joumaa Hussein,Jneid Khoder,Jacomino Mireille

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-76477-7_10

Reference22 articles.

1. S. Abras, S. Ploix, S. Pesty, M. Jacomino, A multi-agent home automation system for power management, in Informatics in Control, Automation and Robotics III (2006)

2. S. Abras, S. Ploix, S. Pesty, M. Jacomino, A Multi-agent design for a home automation system dedicated to power management, in IFIP International Federation for Information Processing, Volume 247, Artificial Intelligence and Innovations 2007: From Theory to Applications, ed. by C. Boukis, L. Pnevmatikakis, L. Polymenakos (Springer, Boston, 2007), pp. 233–241

3. S. Abras, S. Ploix, S. Pesty, M. Jacomino, A multi-agent design for a home automation system dedicated to power management, in International Federation for Information Processing Digital Library: Artificial Intelligence and Innovations 2007: From Theory to Applications (2007)

4. S. Abras, S. Ploix, S. Pesty, M. Jacomino, An anticipation mechanism for power management in a smart home using multi-agent systems, in Information and Communication Technologies: From Theory to Applications, 2008. ICTTA 2008

5. S. Abras, S. Ploix, S. Pesty, M. Jacomino, Advantages of MAS for the resolution of a power management problem in smart homes, in 8th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS’2010 (2010)