Forecasting and Management Systems for Smart Grid Applications
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A1: Smart Grids and Microgrids".
Deadline for manuscript submissions: closed (20 August 2021) | Viewed by 10032
Special Issue Editors
Interests: power management systems; control theory; hybrid dynamical systems; optimal control; Hamiltonian systems under Lie group; control and management of storage; wireless power transfer; remote monitoring and sensing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The move towards a low carbon economy brings opportunities and challenges for energy systems and electricity networks, especially at the local level. Low carbon technologies such as photovoltaics, heat pumps, and electric vehicles will produce larger and more volatile demands on the network and increase the likelihood of violating the capacity of the network. At the same time, storage devices and energy management systems can provide opportunities to take advantage of the flexibilities in the network, utilise renewable energy, smooth demand, and encourage energy efficiency.
In many of these applications, a forecast will be essential to optimise the outcomes of the management systems and necessary for a true smart electricity grid. They will enable more optimal planning and help network operators and aggregators better anticipate and manage network disruption such as high PV generator or large spikes in demand.
This issue will be interested in all applications which use forecasting to enable, or support, management systems in low voltage smart grid applications. This will include but is not limited to:
- Control of network storage devices from household up to low voltage level;
- Home energy management systems;
- Management of distributed generation;
- Community control of high demand low carbon assets such as electric vehicles or heat pumps;
- Demand side response applications;
- Smart heating systems;
- Forecasting of renewable generation;
- Forecasting of electric vehicle charging demand;
- Forecasting of low voltage connected commercial consumers.
Prof. Dr. William Holderbaum
Dr. Stephen Haben
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. Energies 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 2600 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
- load forecasting
- forecasting
- probabilistic load forecasting
- demand forecasting
- control
- model predictive control
- distributed control
- demand management
- smart grid
- power management
- low carbon technologies
- distributed generation
- renewable energy sources
- local energy systems
- smart energy systems
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
