Authors
Joelle Klaimi, Rana Rahim-Amoud, Leila Merghem-Boulahia, Akil Jrad,
Title
Energy Management Algorithms in Smart Grids: State of the art and emerging trends
In
International journal of artificial intelligence & applications (IJAIA)
Volume
7
Issue
4
Pages
25–45
Year
2016
Indexed by
Abstract
The electric grid is radically evolving into the smart grid, which is characterized by improved energy efficiency of available resources. The smart grid permits interactions among its computational and physical elements thanks to the integration of Information and Communication Technologies (ICTs). ICTs provide energy management algorithms and allow renewable energy integration and energy price minimization. Given the importance of renewable energy, many researchers developed energy management (EM) algorithms to minimize renewable energy intermittency. EM plays an important role in the control of users' energy consumption and enables increased consumer participation in the market. These algorithms provide consumers with information about their energy consumption patterns and help them adopt energy-efficient behaviour. In this paper, we present a review of the state of the energy management algorithms. We define a set of requirements for EM algorithms and evaluate them qualitatively. We also discuss emerging tools and trends in this area.
Affiliations
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