Application of Machine Learning to Power Systems
A special issue of Inventions (ISSN 2411-5134). This special issue belongs to the section "Inventions and Innovation in Electrical Engineering/Energy/Communications".
Deadline for manuscript submissions: closed (31 May 2019) | Viewed by 960
Special Issue Editors
Interests: AI applications to power systems; power system control and operation; smart grids; renewable energy resources; energy management
Special Issues, Collections and Topics in MDPI journals
Interests: power system modelling, simulation and control; energy management and controls; power electronic applications for power systems; grid integration of renewable energy and energy storage; microgrid and smart grid; and power system applications of renewable energy
Special Issues, Collections and Topics in MDPI journals
Interests: Machine Learning; self-healing grid; data analytics; matlab; python; Internet of Things
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear colleagues,
The interconnection between all energy-related ‘things’ within a grid, and even between the grids themselves in the Energy Internet, is both technologically complex and risky. It poses significant challenges for decision makers and regulators. A power grid with smart environment technologies that automates the process of monitoring the health of the grid, or the usage of facilities, for long-term maintenance and facility management, is needed. Tools to collate such information automatically from grid in-use to aid the maintenance or facility manager in making smarter and timelier decisions are needed. In addition, different systems can be interconnected in a way similar to the interconnection between different web servers over the Internet. This Special Issue aims to solicit innovative research and state-of-the-art machine learning algorithms for managing the risks posed by fast-paced technology changes, the volatility of global electricity prices, system over-frequency, and cyber-physical threats, as well as for improving power system planning, operation, and control.
Prof. Dr. Tek-Tjing Lie
Dr. Ramon Zamora
Dr. Miftah Al-Karim
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Inventions is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- machine learning
- cyber security
- risk
- energy internet
- fault detection
- power-system health monitoring
- power-system security assessment
- preventive and corrective control
- demand-side management
- outage management
- asset management
