On data center demand response: A cloud federation approach

MM Moghaddam, MH Manshaei, W Saad… - IEEE …, 2019 - ieeexplore.ieee.org
The significantly high energy consumption of data centers constitutes a major load on the
smart power grid. Data center demand response is a promising solution to incentivize the …

Two level colocation demand response with renewable energy

H Xu, X Jin, F Kong, Q Deng - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Demand response is considered as a valuable functionality of the power grid and its
potential impacts continue expanding with grid modernization. Colocation data centers …

Energy management considering unknown dynamics based on extremum seeking control and particle swarm optimization

K Ma, S Hu, G Hu, Y Bai, J Yang, C Dou… - … on Control Systems …, 2019 - ieeexplore.ieee.org
This brief studies an energy management (EM) problem with unknown dynamics of
consumer appliances. A two-level optimization model is established between the utility …

Risk‐based stochastic day‐ahead operation for data centre virtual power plants

H Zhang, T Xu, H Wu, B Liu… - IET Renewable Power …, 2019 - Wiley Online Library
Data centres (DCs) have rapidly expanded in recent years due to increasing demand for
cloud services. The costs incurred by electricity and water consumption contribute to a major …

Deep reinforcement learning for economic energy scheduling in data center microgrids

X Yang, Y Wang, H He, C Sun… - 2019 IEEE power & …, 2019 - ieeexplore.ieee.org
This paper investigates the economic energy scheduling problem for data center microgrids
with renewables integration via deep reinforcement learning. A multi-factor economic energy …

A Stochastic Approach to Energy Cost Minimization in Smart‐Grid‐Enabled Data Center Network

A Ghassemi, P Goudarzi, MR Mirsarraf… - journal of Computer …, 2019 - Wiley Online Library
We propose a Lyapunov drift‐plus‐penalty‐(LDPP‐) based algorithm to optimize the
average power cost for a data center network. In particular, we develop an algorithm to …

A distributed coevolution algorithm for black box optimization of demand response

X Zhang, YJ Gong, Y Zhou, Y Lin - IEEE Access, 2019 - ieeexplore.ieee.org
Demand side management is an efficient way of reducing the grid fluctuation and enhancing
the net profit in the smart grid. As the increasing complexity of the real-world applications …

Shapley value based customers voluntary demand response program: a stackelberg game approach

J Wang, Q Huang, W Hu, J Li, Z Zhang… - … -Asia (ISGT Asia), 2019 - ieeexplore.ieee.org
Retailers stimulate customers to curtail their demand during peak pricing in demand
response (DR) program. This research exhibits an advanced customers voluntary DR …

Supervisory Control and Data Acquisition for Distributed Smart System= Supervisory Control and Data Acquisition using a Resilient Information Architecture Platform …

D Crescimone - 2019 - webthesis.biblio.polito.it
The today Energy system is characterized by the more and more growth and diffusion of the
various distributed energy renewable sources in the generation and distribution level, such …

[图书][B] Load Pattern Categorisation and Dynamic Pricing Based Demand Response in Smart Grid

X Luo - 2019 - search.proquest.com
Abstract The Smart Grid is widely regarded as the next generation of the power grid in power
system reform. It is the application of digital processing and communications to the power …