Special Issue "Solar Forecasting and the Integration of Solar Generation to the Grid"
Deadline for manuscript submissions: 10 February 2021.
Interests: solar resource assessment and forecasting; distributed generation management; smart grids; thermal/electrical microgrids; smart buildings; machine/deep learning; model-based predictive control; non-linear optimization.
Interests: solar resource assessment and forecasting; distributed generation management; smart grids; signal and image processing; machine/deep learning; system identification; model-based predictive control; non-linear optimization
Due to the scarcity of fossil fuels and increasing energy needs, the large-scale deployment of solar technologies (particularly the deployment of solar photovoltaics) is accelerating. This deployment comes within the fight against climate change, in a context of sustainable development.
According to national and international regulations, mainly concerned with voltage constraints, current levels, and voltage drop gradients, grid operators are contractually obligated to maintain steady and reliable service to their customers. Over the past few years, power distribution grids have been undergoing major changes due to the increasing penetration of renewable-energy-based distributed generation, particularly photovoltaic power generation. This penetration has caused a large number of stability, quality, and safety issues. Power injection by distributed generators results in bidirectional power flow, and is irregular. This is mainly due to the intermittent nature of renewable energy sources.
Within this context, the smart grid paradigm has emerged as a solution to monitoring and control problems facing power distribution grid operators: the enhancement of grid observability, through an advanced metering infrastructure and the forecasting of grid load and distributed generation, paves the way for smart management strategies that keep the balance between supply and demand.
This Special Issue (entitled Solar Forecasting and the Integration of Solar Generation to the Grid) therefore focuses on the large-scale deployment of solar technologies and the increasing penetration of renewable-energy-based distributed generation in the electrical system, particularly solar photovoltaic power generation. We therefore invite original papers (novel technical developments, reviews, and case studies) addressing solar resource forecasting, the smart management of the distributed generation, and the issues related with the penetration of such a generation in the electrical system.
Prof. Dr. Stéphane Grieu
Dr. Stéphane Thil
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 papers will be 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 2000 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.
- Solar technologies
- Solar resource forecasting
- Smart management of distributed generation
- Penetration in the electrical system
- Smart grid paradigm