posted by user: pfrazao || 2131 views || tracked by 2 users: [display]

MLBEM 2021 : The first Workshop on Machine Learning for Buildings Energy Management (@ECMLPKDD2021)

FacebookTwitterLinkedInGoogle

Link: https://mlbem.lasige.di.fc.ul.pt/
 
When Sep 13, 2021 - Sep 17, 2021
Where Bilbao, Spain (Virtual)
Submission Deadline Jun 23, 2021
Notification Due Jul 21, 2021
Final Version Due Jul 31, 2021
Categories    machine learning   artificial intelligence   energy   buildings
 

Call For Papers

OVERVIEW

Machine learning is a key enabler of scalable and efficient tools for building energy assessment and for the development of services capable of dealing with the increased complexity of energy management in buildings generated by the electrification of the energy system. The aim of this workshop is to provide energy and machine learning researchers with a forum to exchange and discuss scientific contributions, open challenges, and recent achievements in machine learning and their role in the development of efficient and scalable building energy management systems.

-------------------------------------------------------------------------------------

TOPICS:

Machine learning for:
buildings energy performance assessment
appliance and building technical equipment energy assessment
buildings occupancy assessment
energy flexibility management
buildings energy efficiency
building-as-a-battery
thermal comfort estimation and control
buildings lighting control
buildings air quality control
holistic control of buildings systems and energy resources

Adversarial machine learning and the robustness of AI in BEM
Interpretability and explainability of machine learning models in BEM
Privacy preserving machine learning
Trusted machine learning
Scalable / big data approaches for BEM
Continuous and one-shot learning
Informed machine learning
User and entity behavior modeling and analysis

------------------------------------------------------------------------------------

Submissions are accepted in two formats:

1) Regular research papers with 12 to 16 pages including references. To be published in the proceedings, research papers must be original, not published previously, and not submitted concurrently elsewhere.
2) Short research statements of at most 6 pages. Research statements aim at fostering discussion and collaboration. They may review research published previously or outline new emerging ideas.

------------------------------------------------------------------------------------

ORGANIZING COMMITTEE

Pedro M. Ferreira, Faculty of Sciences - University of Lisbon / LASIGE, Portugal
Guilherme Gra├ža, Faculty of Sciences - University of Lisbon / IDL, Portugal

Related Resources

IEEE ICA 2022   The 6th IEEE International Conference on Agents
PAKDD 2023   The 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining
AIAI 2023   Artificial Intelligence Applications and Innovations
MLDM 2023   18th International Conference on Machine Learning and Data Mining
Distributed ML and Opt. 2023   Distributed Machine Learning and Optimization: Theory and Applications
IJCNN 2023   International Joint Conference on Neural Networks
smart health 2023   1ST INTERNATIONAL WORKSHOP ON SMART HEALTH
MSE 2023   7th International Conference on Materials Science and Engineering
TNNLS-GL 2023   IEEE Transactions on Neural Networks and Learning Systems Special Issue on Graph Learning
ACM-Ei/Scopus-CWCBD 2023   2023 4th International Conference on Wireless Communications and Big Data (CWCBD 2023) -EI Compendex