Call for Contributions
The proposed workshop aims at soliciting high-quality research articles that develop novel machine learning techniques to advance distribution grid efficiency, resilience and security. Original ideas bridging cross-disciplinary fields of signal processing, optimization, statistics, AI and energy systems are sought from prospective authors for presentations and publications in the workshop.
Potential topics of this workshop include but are not limited to the following:
- Reinforcement learning and deep learning for cyber-physical distribution systems
- Distributed and robust monitoring and optimization in distribution grids
- Robust and data-driven control in distribution grids
- Building automation and control
- Fault diagnosis, localization and prognosis
- Micro-PMU and smart meter big data analysis
- Topology identification in distribution networks
- Power restoration for smart distribution systems using machine learning
- Utility and residential level load and renewable energy forecasting
- Condition monitoring and asset management in distribution grids
- Intelligent wide area monitoring, protection, control, and management
- Privacy and security for machine learning in distribution grids
Important Dates
- Paper submission deadline (regular and invited):
June 23, 2020July 10, 2020 (Extended) - Review results announced:
July 28th, 2020 - Camera-ready regular and invited papers due:
Aug 7th, 2020
