Research on Energy Dispatching Strategy Based on Energy Forecast Algorithm for Data Center

This paper focuses on energy saving for data center. An energy dispatching strategy EDS (Energy Dispatching Strategy) which is based on energy forecast algorithm PsGMcR (Predicted strategy based on GM (1, 1) and Markov chain Rectify) is proposed. This strategy mainly optimizes data center energy scheduling, reduces carbon emissions, and decreases energy consumption for data center. The architecture of power supply system and data center adopts the SDN architecture. In addition to normal power supply, this strategy adds solar energy to the power supply system. Solar energy adding is able to achieve the purpose of data center energy structure optimization, energy conservation and environmental protection further. Simulation results show that the performance of the proposed strategy is better than other typical energy optimization algorithms, and reducing the carbon emissions of the data center effectively. The energy saving rate is about 12%.