Academic Journal of Energy, 2020, 1(1); doi: 10.38007/RE.2020.010101.
Siran Yongcharen
Auckland University of Technology, Auckland
With the rapid development of the world economy, energy crisis and environmental crisis have become the focus of the world. Energy Internet can achieve a better combination of traditional energy and renewable energy, improve energy efficiency, and become an important direction to solve this problem. Through the corresponding interpretation of cloud computing, energy Internet and energy adaptation, this paper integrates the algorithm of cloud computing into the energy adaptation of energy Internet, and proposes an improved algorithm lsdemfo. Through the simulation test and analysis of this algorithm, it is concluded that this algorithm has many advantages, such as low cost, strong load capacity, fast computing speed, and has a good development prospect.
Cloud Computing, Energy Internet, Energy Adaptation, Intelligent Optimization
Siran Yongcharen. Energy Adaptation of Energy Internet Based on Cloud Computing. Academic Journal of Energy (2020), Vol. 1, Issue 1: 1-8. https://doi.org/10.38007/RE.2020.010101.
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