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Decision-Making Systems in Power System Planning and Operation in the Presence of High Shares of Renewable Energies

This special issue belongs to the section “F1: Electrical Power System“.

Special Issue Information

Dear Colleagues,

The massive penetration of not-programmable Renewable Energy Sources (RESs) in modern power systems still represents a challenge for system operators. Despite the promising results of the last years, many questions remain unanswered. In particular, how to harness the power of Big Data for developing reliable decision-making tools is one of them. In this context, the developed frameworks should deal with the effect of uncertain sources, promoting renewable energy integration in Smart Grids.

Potential topics include but are not limited to the following:

  • Deterministic and probabilistic multi-step ahead wind/solar power forecasting, preferably over large scales.
  • Novel metrics to assess the impact of renewable energy uncertainty in power systems.
  • Data-driven techniques for power system operation and control.
  • Decentralized computing in power systems.
  • Methodologies for uncertainty management and characterization in power system applications.
  • Decision-making tools for planning and operation of power systems in the presence of uncertainty.

Dr. Alfredo Vaccaro
Dr. Fabrizio de Caro
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 250 words) can be sent to the Editorial Office for assessment.

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

  • decision-making tools
  • renewable energies
  • wind power forecasting
  • solar power forecasting
  • data-driven techniques
  • planning and operation of power systems
  • decentralized computing in smart grids

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Energies - ISSN 1996-1073