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New Index
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Item
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Electricity Price Prediction for Geographically Distributed Data Centers in Multi-Region Electricity Markets
http://hdl.handle.net/20.500.12678/0000007324
http://hdl.handle.net/20.500.12678/00000073248f2b5c3b-f5af-4c5c-86a1-f43088da89a3
e202cd21-e608-49a8-b1c7-aa0f0ebf547d
Name / File | License | Actions |
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Restricted Access
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Publication type | ||||||
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Conference paper | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Electricity Price Prediction for Geographically Distributed Data Centers in Multi-Region Electricity Markets | |||||
Language | en | |||||
Publication date | 2018-09-13 | |||||
Authors | ||||||
Moh Moh Than, Thandar Thein | ||||||
Description | ||||||
Geographically distributed data centers (GDCs) serving as infrastructures for cloud services, are growing in both number and scale. They usually consume enormous amount of electric power, which lead to high operational costs and this has been recognized as a main challenge in cloud computing. Energy cost can be reduced by directing the requests to the favor of data center with lower electricity price by incorporating spatially and temporally price diversity, especially in the multi-region electricity markets. If the electricity prices of data centers are predicted in advance, the cloud provider can reduce energy cost. An efficient electricity price prediction is needed for minimizing electricity bill of GDCs. This paper proposes electricity price prediction for GDCs in multi-region electricity markets. Experiment is conducted on real-life electricity price data sets with machine learning algorithms. By comparatively assessing the prediction accuracy of the models, the most accurate one is selected. Experiment results show that the prediction model can provide promising accuracy. |
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Keywords | ||||||
electricity price prediction, geographically distributed data centers, machine learning, multi-region electricity markets | ||||||
Identifier | 10.1109/CCOMS.2018.8463272 | |||||
Conference papers | ||||||
Prediction | ||||||
27-30 April 2018 | ||||||
2018 3rd International Conference on Computer and Communication Systems (ICCCS) | ||||||
Nagoya, Japan | ||||||
Data Theory and Engineering | ||||||
http://www.icccs.org |