Towards Cost-Optimal Energy Procurement for Cooling as a Service: A Data-Driven Approach
Author:
Affiliation:
1. Singapore Institute of Technology,Singapore
2. Nanyang Technological University,Singapore
3. Singapore University of Social Sciences,Singapore
Funder
National Research Foundation (NRF)
Building and Construction Authority (BCA) Singapore
National University of Singapore (NUS)
Nanyang Technological University (NTU)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9685019/9685006/09685251.pdf?arnumber=9685251
Reference13 articles.
1. Stochastic Model Predictive Control for Building HVAC Systems: Complexity and Conservatism
2. Research highlights from a large scale residential monitoring study in a hot climate
3. Thermal comfort, perceived air quality, and cognitive performance when personally controlled air movement is used by tropically acclimatized persons
4. Optimal risk-aware power procurement for data centers in day-ahead and real-time electricity markets
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