Abstract
With the increasing scale of mobile network, the proportion of energy consumption of network in global is rapidly growing. Particularly, in order to estimate available energy in each node to intelligently optimize the base station by combining with the state of load, an improved grey model is put forward for green energy forecast in smart green base station (GBS), so that the smart GBS can be self-sufficient in energy under the premise of ensuring the quality of communication. In the paper, according to the weather conditions in a certain region, and combined with the solar energy harvesting system, the energy harvesting trend can be forecasted from an improved grey model which based on grey system, and then compared with the real data to prove the validity and practicability of the model.
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Acknowledgements
This work is supported by the National Natural Science Foundation of China (61372117) and the Beijing Higher Education Young Elite Teacher Project (YETP0439).
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Chuan, J., Wei, Y., Man, Y., Song, M., Sun, S., Wang, X. (2016). Green Energy Forecast Based on Improved Grey Model for Green Base Stations. In: Zu, Q., Hu, B. (eds) Human Centered Computing. HCC 2016. Lecture Notes in Computer Science(), vol 9567. Springer, Cham. https://doi.org/10.1007/978-3-319-31854-7_2
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DOI: https://doi.org/10.1007/978-3-319-31854-7_2
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