Probabilistic Integration of Demand Flexibilities in a Renewable Energy-Assisted Community Network
Author:
Affiliation:
1. Rutgers, the State University of New Jersey,Department of Industrial and Systems Engineering,Piscataway,NJ,USA
2. College of Arts and Sciences, Qatar University,Applied Geography and GIS,Department of Humanities,Doha,Qatar
Funder
Qatar National Research Fund (a member of the Qatar Foundation)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10261480/10261481/10261678.pdf?arnumber=10261678
Reference16 articles.
1. Adaptable scheduling of smart building communities with thermal mapping and demand flexibility
2. An optimal day-ahead dispatch strategy for deferrable loads
3. An intuitive definition of demand flexibility in direct load control
4. Flexibility Scheduling for Large Customers
5. A Geometric Approach to Aggregate Flexibility Modeling of Thermostatically Controlled Loads
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