Special Issue "Application of Information Measures for Analysis and Predictability of Renewable Energy Time Series"
Deadline for manuscript submissions: closed (31 May 2019).
Interests: complex systems; information theory; climate modeling; UV radiation; water resources; chaos theory; modeling of environmental interfaces; environmental physics; psychophysics
Interests: solar radiation mapping and prediction; fractal theory; climate change; tropical meteorology; atmospheric physics
Renewable energy is energy that is collected from carbon-free resources, which are naturally provided on a human time scale, such as solar radiation, wind, rain, tides, biomass, waves and geothermal heat. This energy often provides energy in four important areas: Electricity generation, air and water heating/cooling, transportation and energy for off-grid services, which can be either stand-alone power systems or mini-grids typically supplying a smaller community or small islands with electricity. In the past few decades, the renewable energy has become one of the attractors for policy makers and for the worldwide scientific community, both on a theoretical and practical level.
The work on Renewable Energy includes three equally-important parts: (i) reliability of the measuring procedure, (ii) analysis of measured time series often carrying hidden physical information that cannot be established by traditional methods from different mathematical fields and (iii) predictability of the behavior of those time series, which are essentially connected. In this Special Issue in the focus will be research that addresses Renewable Energy problems using Information Theory approaches, by introducing a novel development of Information Theory for specific applications, and/or by solving a new Renewable Energy problem using the tools of Information Theory. Submissions at the edge of Information Theory, Renewable Energy, and other disciplines are also welcome.
Prof. Dr. Dragutin T. Mihailović
Prof. Dr. Miloud Bessafi
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. Entropy is an international peer-reviewed open access monthly 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.
- renewable energy
- complex systems
- Shannon entropy
- Kolmogorov complexity measures
- Kolmogorov time
- information theory