Stand-alone renewable power system scheduling for a green data center using integer linear programming

Author:

Haddad Maroua,Nicod Jean-Marc,Péra Marie-Cécile,Varnier Christophe

Funder

Agence Nationale de la Recherche

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Management Science and Operations Research,General Engineering,Software

Reference44 articles.

1. Aksanli, B., Venkatesh, J., Zhang, L., Rosing, T.: Utilizing green energy prediction to schedule mixed batch and service jobs in data centers. In Proceedings of the 4th workshop on power-aware computing and systems (p. 5). ACM (2011).

2. ANR DATAZERO project (2015–2019). http://datazero.org.

3. Apple: Apple facilities, environmental footprint report. Apple and the Environment (2013). http://www.apple.com/environment/.

4. Arlitt, M., Bash, C., Blagodurov, S., Chen, Y., Christian, T., Gmach, D., Hyser, C., Kumari, N., Liu, Z., Marwah, M., et al.: Towards the design and operation of net-zero energy data centers. In 2012 13th IEEE intersociety conference on thermal and thermomechanical phenomena in electronic systems (ITherm) (pp. 552–561). IEEE (2012).

5. Bajpai, P., & Dash, V. (2012). Hybrid renewable energy systems for power generation in stand-alone applications: A review. Renewable and Sustainable Energy Reviews, 16(5), 2926–2939.

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