A novel 4-level joint optimal dispatch for demand response of data centers with district autonomy realization

O Han, T Ding, M Yang, W Jia, X He, Z Ma - Applied Energy, 2024 - Elsevier
Data centers (DCs) are gradually becoming one of the world's largest energy consumers.
Owing to their spatial-temporal transferable characteristics, DCs show great potential in …

Secured VM Deployment in the Cloud: Benchmarking the Enhanced Simulation Model

U Nauman, Y Zhang, Z Li, T Zhen - Applied Sciences, 2024 - mdpi.com
Cloud computing has gained widespread recognition for facilitating myriad online services
and applications. However, the current stages of commercial cloud computing employ a …

[HTML][HTML] Intra-day optimal power flow considering flexible workload scheduling of IDCs

C Li, K Zheng, H Guo, Y Cai, Q Chen - Energy Reports, 2023 - Elsevier
The online interactive workloads and offline batch computing services of Internet data
centers (IDCs) have scheduling flexibility. Batch computing tasks with low latency sensitivity …

Unveiling Portfolio Resilience: Harnessing Asymmetric Copulas for Dynamic Risk Assessment in the Knowledge Economy

X Li - Journal of the Knowledge Economy, 2023 - Springer
The dynamic landscape of modern financial analysis relies on the versatile instrument of
copulas to unravel intricate interdependencies between variables. Value-at-risk (VAR) …

Multi-timescale optimization scheduling of interconnected data centers based on model predictive control

X Guo, Y Che, Z Zheng, J Sun - Frontiers in Energy, 2024 - Springer
With the promotion of “dual carbon” strategy, data center (DC) access to high-penetration
renewable energy sources (RESs) has become a trend in the industry. However, the …

Optimal scheduling of data centers based on multiple games

J Sun, Y Che, Z Zheng - Journal of Renewable and Sustainable …, 2023 - pubs.aip.org
With the increasing dominance of electricity retailers in the electricity market, it has become
a new trend for the data center (DC) to participate in sales-side transactions. However, data …

Collaborative planning of data center and energy storage based on iC &CG solving algorithm

S Wang, Y Chen, Y Chen - Journal of Electrical Systems, 2024 - search.proquest.com
With the rapid development of new power systems and advanced technologies such as
artificial intelligence, the penetration rate of renewable energy is increasing, and the …

Cost Optimization Model for Cloud Using Machine Learning and Artificial Intelligence

PS Rawat, N Kumar - Advanced Computing Techniques for …, 2025 - taylorfrancis.com
In the present era of computing, communication, and technology, service-oriented
computing provides resources on rent basis. The optimization of cost is a major concern in …

9 Cost Model OptimizationforCloud Using Machine Learning and

PS Rawat, N Kumar - Advanced Computing Techniques for …, 2024 - books.google.com
Cloud cost optimization plays a vital role in helping enterprises reduce their cloud expenses.
It employs various strategies, such as identifying and eliminating wasteful resources …

Capacity Configuration Method of Energy Storage System in Data Center Based on Improved Quantum Gravity Search Algorithm

L Li, Z Ge, Z Wei, Y Wang, Y Tu… - … Conference on Power …, 2023 - ieeexplore.ieee.org
In order to guarantee the power supply reliability (PSR) and reduce the electricity cost of
data center, a capacity configuration method of energy storage system (ESS) in data center …