2021
DOI: 10.1016/j.suscom.2020.100459
|View full text |Cite
|
Sign up to set email alerts
|

QoS and power network stability aware simultaneous optimization of data center revenue and expenses

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
5
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(5 citation statements)
references
References 28 publications
0
5
0
Order By: Relevance
“…For example, in [182,183], the authors use the Strength Pareto Evolutionary Algorithm (SPEA-II) for Demand Response Management (DRM) and, thus, satisfy maximum demand load and a decrease in customer spending. In [184], a multilevel algorithm is proposed to optimize revenues and expenses and improve the quality of service (QoS) of the data center and the stability of the electrical grid. In [185] a multi-objective algorithm based on the Six Sigma approach is discussed for solving the HMG dimensioning problem consisting of multiple resources and multiple constraints.…”
Section: Fuzzy Logic and Others Techniquesmentioning
confidence: 99%
“…For example, in [182,183], the authors use the Strength Pareto Evolutionary Algorithm (SPEA-II) for Demand Response Management (DRM) and, thus, satisfy maximum demand load and a decrease in customer spending. In [184], a multilevel algorithm is proposed to optimize revenues and expenses and improve the quality of service (QoS) of the data center and the stability of the electrical grid. In [185] a multi-objective algorithm based on the Six Sigma approach is discussed for solving the HMG dimensioning problem consisting of multiple resources and multiple constraints.…”
Section: Fuzzy Logic and Others Techniquesmentioning
confidence: 99%
“…The proposed algorithm uses SPEA-II for the multi-objective constrained optimization problem. A multi-objective algorithm based on the Six Sigma approach is proposed in [149] to solve the sizing problem of the hybrid MG system consists of multiple resources and multiple constraints. Among MOPSO, PESA-II, and SPEA-II, which are applied to the optimization algorithm, the results show SPEA-II has better performance in this article.…”
Section: C32 Direct Aooroachmentioning
confidence: 99%
“…The set of publications with the objective function defined as the maximum is slightly more modest. It includes articles on how to effectively increase the impact in a linear model of threshold propagation in linear programming [18], solving the internal problem of maximization using the double gradient method [19], increasing the revenues obtained in a stable power grid [20], or simply increasing efficiency [21].…”
Section: Introductionmentioning
confidence: 99%