A survey on electric power demand forecasting: Future trends in smart grids, microgrids and smart buildings

L Hernandez, C Baladron, JM Aguiar… - … Surveys & Tutorials, 2014 - ieeexplore.ieee.org
Recently there has been a significant proliferation in the use of forecasting techniques,
mainly due to the increased availability and power of computation systems and, in particular …

Computational optimization techniques applied to microgrids planning: A review

C Gamarra, JM Guerrero - Renewable and Sustainable Energy Reviews, 2015 - Elsevier
Microgrids are expected to become part of the next electric power system evolution, not only
in rural and remote areas but also in urban communities. Since microgrids are expected to …

Distributed energy management for networked microgrids using online ADMM with regret

WJ Ma, J Wang, V Gupta, C Chen - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
We propose a distributed algorithm for online energy management in networked microgrids
with a high penetration of distributed energy resources (DERs). A high penetration of DERs …

Opportunities and challenges for data center demand response

A Wierman, Z Liu, I Liu… - International Green …, 2014 - ieeexplore.ieee.org
This paper surveys the opportunities and challenges in an emerging area of research that
has the potential to significantly ease the incorporation of renewable energy into the grid as …

Toward optimal energy management of microgrids via robust two-stage optimization

W Hu, P Wang, HB Gooi - IEEE Transactions on smart grid, 2016 - ieeexplore.ieee.org
This paper considers energy management in a grid-connected microgrid which has multiple
conventional generators (CGs), renewable generators and energy storage systems (ESSs) …

Online optimal control with linear dynamics and predictions: Algorithms and regret analysis

Y Li, X Chen, N Li - Advances in Neural Information …, 2019 - proceedings.neurips.cc
This paper studies the online optimal control problem with time-varying convex stage costs
for a time-invariant linear dynamical system, where a finite lookahead window of accurate …

Online scheduling of a residential microgrid via Monte-Carlo tree search and a learned model

H Shuai, H He - IEEE Transactions on Smart Grid, 2020 - ieeexplore.ieee.org
The uncertainty of distributed renewable energy brings significant challenges to economic
operation of microgrids. Conventional online optimization approaches require a forecast …

Power grid vulnerability to geographically correlated failures—Analysis and control implications

A Bernstein, D Bienstock, D Hay… - … -IEEE conference on …, 2014 - ieeexplore.ieee.org
We consider line outages in the transmission network of the power grid, and specifically
those caused by natural disasters or large-scale physical attacks. In such networks, an …

Islanding-aware robust energy management for microgrids

Y Guo, C Zhao - IEEE Transactions on Smart Grid, 2016 - ieeexplore.ieee.org
With the current trend of transforming a centralized power system into a decentralized one
for efficiency, reliability, and environmental reasons, the concept of a microgrid that …

Online resource allocation, content placement and request routing for cost-efficient edge caching in cloud radio access networks

L Pu, L Jiao, X Chen, L Wang, Q Xie… - IEEE Journal on …, 2018 - ieeexplore.ieee.org
In this paper, we advocate edge caching in cloud radio access networks (C-RAN) to facilitate
the ever-increasing mobile multimedia services. In our framework, central offices will …