DIMACS Miniworkshop on Algorithms and Energy
May 21, 2010
DIMACS Center, CoRE Building, Rutgers University, Piscataway, NJ
- Organizers:
- Komandur Krishnan, Telcordia, krk at research.telcordia.com
- Linda Ness, Telcordia, lness at telcordia.com
- Tom Reddington, Bell Labs, treddington at bell-labs.com
- Fred Roberts, DIMACS, froberts at dimacs.rutgers.edu
- Emina Soljanin, Bell Labs, Emina at research.bell-labs.com
- Lisa Zhang, Bell Labs, ylz at research.bell-labs.com
Presented under the auspices of the Special Focus on Discrete Random Systems.
There is a long tradition of using methods from computer science, mathematics, statistics, and operations research in planning energy supply and use. At DIMACS, a 1989 workshop dealt with reliability of electric power networks, a 1999 workshop studied algorithmic problems arising from next generation unit commitment models in electric power generation, and a special focus on Large Scale Discrete Optimization included
analysis of energy systems. The complexity and interconnectedness of our energy
systems call for the development of new and more powerful algorithmic methods for dealing with complex systems, optimizing supply, getting early warning of problems, and dealing with massive amounts of data. This miniworkshop will explore algorithmic challenges in designing, operating, investing in, and monitoring modern energy systems.
Presentations will be informal, there will be lots of time for discussion, and we aim to use this miniworkshop to begin to plan subsequent activities at DIMACS.
Among the topics to be considered:
- Design and control of energy systems
- How much to invest in different energy development projects given uncertainty about climate, demand, and government regulations
- Algorithms for electric power dispatch from intermittent sources (e.g., wind)
- Allocation of energy sources in times of scarcity
- Energy efficiency generally
- Energy-efficient scheduling architectures
- Energy-efficient network protocols
- Energy-aware communication and task scheduling
- Green computing
- Intelligent mining of sensor stream signals to manage temperature in data centers
- Methods for stable and reliable operation of the national electric power grid
- Minimizing vulnerability of energy systems
- Use of formal algorithmic methods in management of the electric power grid
- Achieving an ultra-efficient, self-healing, attack-resistant energy system
- Applying algorithms for telecom and computer networks to the power grid
- Integrating alternative power sources
- Smart appliances
- Indicators of grid instability and how to use them
- Avoiding cascading failures in the electric power grid
- Security measures for energy systems
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Document last modified on March 9, 2010.